0.0.8 links to papers
Browse files- app.py +10 -4
- graph.html +2 -97
app.py
CHANGED
@@ -350,7 +350,10 @@ if(st.session_state.question):
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node_id = node.relationships[NodeRelationship.SOURCE].node_id
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node_id = node_id.split('/')[-1]
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title = node_id.split('.')[2].replace('_', ' ')
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-
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else:
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#st.write(node.metadata['kg_rel_map'])
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#st.write(node.text) TODO
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@@ -372,10 +375,13 @@ if(st.session_state.question):
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import pandas as pd
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df = pd.DataFrame(sources_table)
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df.columns = ['paper', 'relevant text']
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st.markdown(""" <style>
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-
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</style> """, unsafe_allow_html=True)
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st.
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#st.write(answer.source_nodes[0].node)
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except Exception as e:
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node_id = node.relationships[NodeRelationship.SOURCE].node_id
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node_id = node_id.split('/')[-1]
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title = node_id.split('.')[2].replace('_', ' ')
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+
link = '.'.join(node_id.split('.')[:2])[:10]
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+
link = f'https://arxiv.org/abs/{link}'
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+
href = f'<a target="_blank" href="{link}">{title}</a>'
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sources_table.extend([[href, node.text]])
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else:
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#st.write(node.metadata['kg_rel_map'])
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#st.write(node.text) TODO
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import pandas as pd
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df = pd.DataFrame(sources_table)
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df.columns = ['paper', 'relevant text']
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+
st.markdown(""" <style>
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table[class*="dataframe"] {
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font-size: 10px;
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}
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</style> """, unsafe_allow_html=True)
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st.write(df.to_html(escape=False), unsafe_allow_html=True)
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#st.table(df)
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#st.write(answer.source_nodes[0].node)
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except Exception as e:
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graph.html
CHANGED
@@ -41,75 +41,6 @@
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}
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#loadingBar {
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position:absolute;
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top:0px;
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left:0px;
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width: 100%;
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height: 450px;
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background-color:rgba(200,200,200,0.8);
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-webkit-transition: all 0.5s ease;
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-moz-transition: all 0.5s ease;
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-ms-transition: all 0.5s ease;
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-o-transition: all 0.5s ease;
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transition: all 0.5s ease;
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opacity:1;
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}
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#bar {
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position:absolute;
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top:0px;
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left:0px;
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width:20px;
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height:20px;
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margin:auto auto auto auto;
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border-radius:11px;
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border:2px solid rgba(30,30,30,0.05);
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background: rgb(0, 173, 246); /* Old browsers */
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box-shadow: 2px 0px 4px rgba(0,0,0,0.4);
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}
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#border {
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position:absolute;
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top:10px;
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left:10px;
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width:500px;
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height:23px;
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margin:auto auto auto auto;
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box-shadow: 0px 0px 4px rgba(0,0,0,0.2);
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border-radius:10px;
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}
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#text {
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position:absolute;
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top:8px;
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left:530px;
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width:30px;
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height:50px;
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margin:auto auto auto auto;
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font-size:22px;
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color: #000000;
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}
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div.outerBorder {
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position:relative;
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top:400px;
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width:600px;
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height:44px;
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margin:auto auto auto auto;
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border:8px solid rgba(0,0,0,0.1);
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background: rgb(252,252,252); /* Old browsers */
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background: -moz-linear-gradient(top, rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */
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background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */
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background: -webkit-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */
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background: -o-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */
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background: -ms-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* IE10+ */
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background: linear-gradient(to bottom, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* W3C */
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filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#fcfcfc', endColorstr='#ededed',GradientType=0 ); /* IE6-9 */
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border-radius:72px;
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box-shadow: 0px 0px 10px rgba(0,0,0,0.2);
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}
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@@ -126,15 +57,6 @@
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</div>
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-
<div id="loadingBar">
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<div class="outerBorder">
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<div id="text">0%</div>
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<div id="border">
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<div id="bar"></div>
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</div>
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</div>
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</div>
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<script type="text/javascript">
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@@ -166,8 +88,8 @@
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// parsing and collecting nodes and edges from the python
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-
nodes = new vis.DataSet([{"color": "#97c2fc", "id": "medical services", "label": "medical services", "shape": "dot", "title": "medical services"}, {"color": "#97c2fc", "id": "Statistical", "label": "Statistical", "shape": "dot", "title": "Statistical"}, {"color": "#97c2fc", "id": "medical referrals", "label": "medical referrals", "shape": "dot", "title": "medical referrals"}, {"color": "#97c2fc", "id": "Diseases", "label": "Diseases", "shape": "dot", "title": "Diseases"}, {"color": "#97c2fc", "id": "analysis", "label": "analysis", "shape": "dot", "title": "analysis"}, {"color": "#97c2fc", "id": "clinical notes", "label": "clinical notes", "shape": "dot", "title": "clinical notes"}, {"color": "#97c2fc", "id": "performance improvement", "label": "performance improvement", "shape": "dot", "title": "performance improvement"}, {"color": "#97c2fc", "id": "Topor Topscorer", "label": "Topor Topscorer", "shape": "dot", "title": "Topor Topscorer"}, {"color": "#97c2fc", "id": "model performance", "label": "model performance", "shape": "dot", "title": "model performance"}, {"color": "#97c2fc", "id": "more detailed descriptions", "label": "more detailed descriptions", "shape": "dot", "title": "more detailed descriptions"}, {"color": "#97c2fc", "id": "SDOH", "label": "SDOH", "shape": "dot", "title": "SDOH"}, {"color": "#97c2fc", "id": "more detailed SDOH descriptions", "label": "more detailed SDOH descriptions", "shape": "dot", "title": "more detailed SDOH descriptions"}, {"color": "#97c2fc", "id": "PubMed abstracts", "label": "PubMed abstracts", "shape": "dot", "title": "PubMed abstracts"}, {"color": "#97c2fc", "id": "original columns", "label": "original columns", "shape": "dot", "title": "original columns"}, {"color": "#97c2fc", "id": "descriptive columns", "label": "descriptive columns", "shape": "dot", "title": "descriptive columns"}, {"color": "#97c2fc", "id": "Sent I", "label": "Sent I", "shape": "dot", "title": "Sent I"}, {"color": "#97c2fc", "id": "Sent I O", "label": "Sent I O", "shape": "dot", "title": "Sent I O"}, {"color": "#97c2fc", "id": "Sent I O O", "label": "Sent I O O", "shape": "dot", "title": "Sent I O O"}, {"color": "#97c2fc", "id": "Sent I O O O", "label": "Sent I O O O", "shape": "dot", "title": "Sent I O O O"}, {"color": "#97c2fc", "id": "Sent I O O O O", "label": "Sent I O O O O", "shape": "dot", "title": "Sent I O O O O"}, {"color": "#97c2fc", "id": "Sent I O O O O O", "label": "Sent I O O O O O", "shape": "dot", "title": "Sent I O O O O O"}, {"color": "#97c2fc", "id": "Sent I O O O O O O", "label": "Sent I O O O O O O", "shape": "dot", "title": "Sent I O O O O O O"}, {"color": "#97c2fc", "id": "medical examinations", "label": "medical examinations", "shape": "dot", "title": "medical examinations"}, {"color": "#97c2fc", "id": "care", "label": "care", "shape": "dot", "title": "care"}, {"color": "#97c2fc", "id": "Health", "label": "Health", "shape": "dot", "title": "Health"}, {"color": "#97c2fc", "id": "classification", "label": "classification", "shape": "dot", "title": "classification"}, {"color": "#97c2fc", "id": "framing", "label": "framing", "shape": "dot", "title": "framing"}, {"color": "#97c2fc", "id": "social media posts", "label": "social media posts", "shape": "dot", "title": "social media posts"}, {"color": "#97c2fc", "id": "several challenges", "label": "several challenges", "shape": "dot", "title": "several challenges"}, {"color": "#97c2fc", "id": "I", "label": "I", "shape": "dot", "title": "I"}, {"color": "#97c2fc", "id": "EXAMPLE", "label": "EXAMPLE", "shape": "dot", "title": "EXAMPLE"}, {"color": "#97c2fc", "id": "RESULTS", "label": "RESULTS", "shape": "dot", "title": "RESULTS"}, {"color": "#97c2fc", "id": "QUERY", "label": "QUERY", "shape": "dot", "title": "QUERY"}, {"color": "#97c2fc", "id": "SYMPTOMS", "label": "SYMPTOMS", "shape": "dot", "title": "SYMPTOMS"}, {"color": "#97c2fc", "id": "thank", "label": "thank", "shape": "dot", "title": "thank"}, {"color": "#97c2fc", "id": "thank co-supervisor", "label": "thank co-supervisor", "shape": "dot", "title": "thank co-supervisor"}, {"color": "#97c2fc", "id": "thank members of Ph. thesis review committee", "label": "thank members of Ph. thesis review committee", "shape": "dot", "title": "thank members of Ph. thesis review committee"}, {"color": "#97c2fc", "id": "thank Prof. Yukihiro Motoyama", "label": "thank Prof. Yukihiro Motoyama", "shape": "dot", "title": "thank Prof. Yukihiro Motoyama"}, {"color": "#97c2fc", "id": "thank Prof. Norimichi Ukita", "label": "thank Prof. Norimichi Ukita", "shape": "dot", "title": "thank Prof. Norimichi Ukita"}, {"color": "#97c2fc", "id": "thank Prof. Yoshimasa Tsu", "label": "thank Prof. Yoshimasa Tsu", "shape": "dot", "title": "thank Prof. Yoshimasa Tsu"}, {"color": "#97c2fc", "id": "K", "label": "K", "shape": "dot", "title": "K"}, {"color": "#97c2fc", "id": "statement", "label": "statement", "shape": "dot", "title": "statement"}, {"color": "#97c2fc", "id": "a big test", "label": "a big test", "shape": "dot", "title": "a big test"}, {"color": "#97c2fc", "id": "having", "label": "having", "shape": "dot", "title": "having"}, {"color": "#97c2fc", "id": "specific name of drug", "label": "specific name of drug", "shape": "dot", "title": "specific name of drug"}, {"color": "#97c2fc", "id": "osteoporosis", "label": "osteoporosis", "shape": "dot", "title": "osteoporosis"}, {"color": "#97c2fc", "id": "bisphosphonate preparations", "label": "bisphosphonate preparations", "shape": "dot", "title": "bisphosphonate preparations"}, {"color": "#97c2fc", "id": "medication regimen", "label": "medication regimen", "shape": "dot", "title": "medication regimen"}, {"color": "#97c2fc", "id": "hospitalization", "label": "hospitalization", "shape": "dot", "title": "hospitalization"}, {"color": "#97c2fc", "id": "long-term observation and monitoring", "label": "long-term observation and monitoring", "shape": "dot", "title": "long-term observation and monitoring"}, {"color": "#97c2fc", "id": "costs", "label": "costs", "shape": "dot", "title": "costs"}, {"color": "#97c2fc", "id": "hospitalization costs", "label": "hospitalization costs", "shape": "dot", "title": "hospitalization costs"}, {"color": "#97c2fc", "id": "long-term observation and monitoring costs", "label": "long-term observation and monitoring costs", "shape": "dot", "title": "long-term observation and monitoring costs"}, {"color": "#97c2fc", "id": "a fever", "label": "a fever", "shape": "dot", "title": "a fever"}, {"color": "#97c2fc", "id": "so tired", "label": "so tired", "shape": "dot", "title": "so tired"}, {"color": "#97c2fc", "id": "unable to do", "label": "unable to do", "shape": "dot", "title": "unable to do"}, {"color": "#97c2fc", "id": "stuck in bed", "label": "stuck in bed", "shape": "dot", "title": "stuck in bed"}, {"color": "#97c2fc", "id": "like", "label": "like", "shape": "dot", "title": "like"}, {"color": "#97c2fc", "id": "severe itching", "label": "severe itching", "shape": "dot", "title": "severe itching"}, {"color": "#97c2fc", "id": "one or both eyes", "label": "one or both eyes", "shape": "dot", "title": "one or both eyes"}, {"color": "#97c2fc", "id": "Asperger\u2019", "label": "Asperger\u2019", "shape": "dot", "title": "Asperger\u2019"}, {"color": "#97c2fc", "id": "OCD", "label": "OCD", "shape": "dot", "title": "OCD"}, {"color": "#97c2fc", "id": "Major depressive", "label": "Major depressive", "shape": "dot", "title": "Major depressive"}, {"color": "#97c2fc", "id": "PTSD", "label": "PTSD", "shape": "dot", "title": "PTSD"}, {"color": "#97c2fc", "id": "days", "label": "days", "shape": "dot", "title": "days"}, {"color": "#97c2fc", "id": "homicidal thoughts and urges", "label": "homicidal thoughts and urges", "shape": "dot", "title": "homicidal thoughts and urges"}, {"color": "#97c2fc", "id": "others who did nothing wrong", "label": "others who did nothing wrong", "shape": "dot", "title": "others who did nothing wrong"}, {"color": "#97c2fc", "id": "providers", "label": "providers", "shape": "dot", "title": "providers"}, {"color": "#97c2fc", "id": "medical classification systems", "label": "medical classification systems", "shape": "dot", "title": "medical classification systems"}, {"color": "#97c2fc", "id": "data", "label": "data", "shape": "dot", "title": "data"}, {"color": "#97c2fc", "id": "deep learning models", "label": "deep learning models", "shape": "dot", "title": "deep learning models"}, {"color": "#97c2fc", "id": "NLP tasks", "label": "NLP tasks", "shape": "dot", "title": "NLP tasks"}, {"color": "#97c2fc", "id": "patient outcomes prediction", "label": "patient outcomes prediction", "shape": "dot", "title": "patient outcomes prediction"}, {"color": "#97c2fc", "id": "post-discharge readmissions", "label": "post-discharge readmissions", "shape": "dot", "title": "post-discharge readmissions"}, {"color": "#97c2fc", "id": "information", "label": "information", "shape": "dot", "title": "information"}, {"color": "#97c2fc", "id": "tabular and unstructured", "label": "tabular and unstructured", "shape": "dot", "title": "tabular and unstructured"}, {"color": "#97c2fc", "id": "enrich", "label": "enrich", "shape": "dot", "title": "enrich"}, {"color": "#97c2fc", "id": "BERT base tokenizer", "label": "BERT base tokenizer", "shape": "dot", "title": "BERT base tokenizer"}, {"color": "#97c2fc", "id": "BERT variant models", "label": "BERT variant models", "shape": "dot", "title": "BERT variant models"}, {"color": "#97c2fc", "id": "BERT variants in medical domain", "label": "BERT variants in medical domain", "shape": "dot", "title": "BERT variants in medical domain"}, {"color": "#97c2fc", "id": "approach", "label": "approach", "shape": "dot", "title": "approach"}, {"color": "#97c2fc", "id": "mixed structured and free text EHR data", "label": "mixed structured and free text EHR data", "shape": "dot", "title": "mixed structured and free text EHR data"}, {"color": "#97c2fc", "id": "biomedical", "label": "biomedical", "shape": "dot", "title": "biomedical"}, {"color": "#97c2fc", "id": "center", "label": "center", "shape": "dot", "title": "center"}, {"color": "#97c2fc", "id": "at", "label": "at", "shape": "dot", "title": "at"}, {"color": "#97c2fc", "id": "similarity", "label": "similarity", "shape": "dot", "title": "similarity"}, {"color": "#97c2fc", "id": "multimodal", "label": "multimodal", "shape": "dot", "title": "multimodal"}, {"color": "#97c2fc", "id": "instruction", "label": "instruction", "shape": "dot", "title": "instruction"}, {"color": "#97c2fc", "id": "responses", "label": "responses", "shape": "dot", "title": "responses"}, {"color": "#97c2fc", "id": "visual", "label": "visual", "shape": "dot", "title": "visual"}, {"color": "#97c2fc", "id": "chat", "label": "chat", "shape": "dot", "title": "chat"}, {"color": "#97c2fc", "id": "medical", "label": "medical", "shape": "dot", "title": "medical"}, {"color": "#97c2fc", "id": "report", "label": "report", "shape": "dot", "title": "report"}, {"color": "#97c2fc", "id": "alignment", "label": "alignment", "shape": "dot", "title": "alignment"}, {"color": "#97c2fc", "id": "directions", "label": "directions", "shape": "dot", "title": "directions"}, {"color": "#97c2fc", "id": "frames", "label": "frames", "shape": "dot", "title": "frames"}, {"color": "#97c2fc", "id": "fastalign", "label": "fastalign", "shape": "dot", "title": "fastalign"}, {"color": "#97c2fc", "id": "awesome-align", "label": "awesome-align", "shape": "dot", "title": "awesome-align"}, {"color": "#97c2fc", "id": "tuning", "label": "tuning", "shape": "dot", "title": "tuning"}, {"color": "#97c2fc", "id": "epochs", "label": "epochs", "shape": "dot", "title": "epochs"}, {"color": "#97c2fc", "id": "samples", "label": "samples", "shape": "dot", "title": "samples"}, {"color": "#97c2fc", "id": "hours", "label": "hours", "shape": "dot", "title": "hours"}, {"color": "#97c2fc", "id": "downstrea", "label": "downstrea", "shape": "dot", "title": "downstrea"}, {"color": "#97c2fc", "id": "in HKGs", "label": "in HKGs", "shape": "dot", "title": "in HKGs"}, {"color": "#97c2fc", "id": "HKGs", "label": "HKGs", "shape": "dot", "title": "HKGs"}, {"color": "#97c2fc", "id": "medical concepts", "label": "medical concepts", "shape": "dot", "title": "medical concepts"}, {"color": "#97c2fc", "id": "medical literature", "label": "medical literature", "shape": "dot", "title": "medical literature"}, {"color": "#97c2fc", "id": "clinical trials", "label": "clinical trials", "shape": "dot", "title": "clinical trials"}, {"color": "#97c2fc", "id": "patientgenerated data", "label": "patientgenerated data", "shape": "dot", "title": "patientgenerated data"}, {"color": "#97c2fc", "id": "medical entities", "label": "medical entities", "shape": "dot", "title": "medical entities"}, {"color": "#97c2fc", "id": "relationships", "label": "relationships", "shape": "dot", "title": "relationships"}, {"color": "#97c2fc", "id": "to structured format", "label": "to structured format", "shape": "dot", "title": "to structured format"}, {"color": "#97c2fc", "id": "entities and relationships", "label": "entities and relationships", "shape": "dot", "title": "entities and relationships"}, {"color": "#97c2fc", "id": "to chosen ontologies", "label": "to chosen ontologies", "shape": "dot", "title": "to chosen ontologies"}, {"color": "#97c2fc", "id": "PubMed", "label": "PubMed", "shape": "dot", "title": "PubMed"}, {"color": "#97c2fc", "id": "database", "label": "database", "shape": "dot", "title": "database"}, {"color": "#97c2fc", "id": "drug", "label": "drug", "shape": "dot", "title": "drug"}, {"color": "#97c2fc", "id": "protein", "label": "protein", "shape": "dot", "title": "protein"}, {"color": "#97c2fc", "id": "category", "label": "category", "shape": "dot", "title": "category"}, {"color": "#97c2fc", "id": "ATC pathway.", "label": "ATC pathway.", "shape": "dot", "title": "ATC pathway."}, {"color": "#97c2fc", "id": "navigational queries", "label": "navigational queries", "shape": "dot", "title": 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"title": "a fully digitised tool"}, {"color": "#97c2fc", "id": "of", "label": "of", "shape": "dot", "title": "of"}, {"color": "#97c2fc", "id": "in", "label": "in", "shape": "dot", "title": "in"}, {"color": "#97c2fc", "id": "in automated ICD coding", "label": "in automated ICD coding", "shape": "dot", "title": "in automated ICD coding"}, {"color": "#97c2fc", "id": "ICD-labeled", "label": "ICD-labeled", "shape": "dot", "title": "ICD-labeled"}, {"color": "#97c2fc", "id": "discharge summaries", "label": "discharge summaries", "shape": "dot", "title": "discharge summaries"}, {"color": "#97c2fc", "id": "code", "label": "code", "shape": "dot", "title": "code"}, {"color": "#97c2fc", "id": "ICD coding", "label": "ICD coding", "shape": "dot", "title": "ICD coding"}, {"color": "#97c2fc", "id": "health", "label": "health", "shape": "dot", "title": "health"}, {"color": "#97c2fc", "id": "medical discharges", "label": "medical discharges", "shape": "dot", "title": "medical discharges"}, {"color": "#97c2fc", "id": "equipment", "label": "equipment", "shape": "dot", "title": "equipment"}]);
|
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-
edges = new vis.DataSet([{"from": "Diseases", "title": "are an essential part of", "to": "analysis"}, {"from": "Diseases", "title": "are an essential part of", "to": "clinical notes"}, {"from": "Diseases", "title": "in dataset", "to": "performance improvement"}, {"from": "Diseases", "title": "in dataset", "to": "Topor Topscorer"}, {"from": "Diseases", "title": "in dataset", "to": "model performance"}, {"from": "Diseases", "title": "contain", "to": "more detailed descriptions"}, {"from": "Diseases", "title": "contain", "to": "SDOH"}, {"from": "Diseases", "title": "contain", "to": "more detailed SDOH descriptions"}, {"from": "Diseases", "title": "radiology reports", "to": "PubMed abstracts"}, {"from": "Diseases", "title": "MIMIC-IV-ED dataset", "to": "original columns"}, {"from": "Diseases", "title": "MIMIC-IV-ED dataset", "to": "descriptive columns"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O O"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O O O"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O O O O"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O O O O O"}, {"from": "Diseases", "title": "Aggregated", "to": "Sent I O O O O O O"}, {"from": "Health", "title": "mention", "to": "classification"}, {"from": "Health", "title": "problem", "to": "framing"}, {"from": "Health", "title": "mention", "to": "social media posts"}, {"from": "Health", "title": "introduce", "to": "several challenges"}, {"from": "Health", "title": "mentions", "to": "I"}, {"from": "Health", "title": "LITERATURE RETRIEVAL", "to": "EXAMPLE"}, {"from": "Health", "title": "LITERATURE RETRIEVAL", "to": "RESULTS"}, {"from": "Health", "title": "LITERATURE RETRIEVAL", "to": "QUERY"}, {"from": "Health", "title": "LITERATURE RETRIEVAL", "to": "SYMPTOMS"}, {"from": "Health", "title": "would like to", "to": "thank"}, {"from": "Health", "title": "would like to", "to": "thank co-supervisor"}, {"from": "Health", "title": "would like to", "to": "thank members of Ph. thesis review committee"}, {"from": "Health", "title": "would like to", "to": "thank Prof. Yukihiro Motoyama"}, {"from": "Health", "title": "would like to", "to": "thank Prof. Norimichi Ukita"}, {"from": "Health", "title": "would like to", "to": "thank Prof. Yoshimasa Tsu"}, {"from": "Health", "title": "has", "to": "K"}, {"from": "Health", "title": "Author", "to": "statement"}, {"from": "Health", "title": "have", "to": "a big test"}, {"from": "Health", "title": "am", "to": "having"}, {"from": "Health", "title": "am not sure about", "to": "specific name of drug"}, {"from": "Health", "title": "am not sure about", "to": "osteoporosis"}, {"from": "Health", "title": "am not sure about", "to": "bisphosphonate preparations"}, {"from": "Health", "title": "am not sure about", "to": "medication regimen"}, {"from": "Health", "title": "am not sure about", "to": "hospitalization"}, {"from": "Health", "title": "am not sure about", "to": "long-term observation and monitoring"}, {"from": "Health", "title": "am not sure about", "to": "costs"}, {"from": "Health", "title": "am not sure about", "to": "hospitalization costs"}, {"from": "Health", "title": "am not sure about", "to": "long-term observation and monitoring costs"}, {"from": "Health", "title": "have", "to": "a fever"}, {"from": "Health", "title": "am", "to": "so tired"}, {"from": "Health", "title": "am", "to": "unable to do"}, {"from": "Health", "title": "am", "to": "stuck in bed"}, {"from": "Health", "title": "feel", "to": "like"}, {"from": "Health", "title": "have", "to": "severe itching"}, {"from": "Health", "title": "have", "to": "one or both eyes"}, {"from": "Health", "title": "was diagnosed with", "to": "Asperger\u2019"}, {"from": "Health", "title": "was diagnosed with", "to": "OCD"}, {"from": "Health", "title": "was diagnosed with", "to": "Major depressive"}, {"from": "Health", "title": "was diagnosed with", "to": "PTSD"}, {"from": "Health", "title": "was inpatient for", "to": "days"}, {"from": "Health", "title": "was inpatient for", "to": "homicidal thoughts and urges"}, {"from": "Health", "title": "was inpatient for", "to": "others who did nothing wrong"}, {"from": "Health", "title": "problems", "to": "providers"}, {"from": "data", "title": "limitation", "to": "deep learning models"}, {"from": "data", "title": "transformer architecture", "to": "NLP tasks"}, {"from": "data", "title": "shortage", "to": "patient outcomes prediction"}, {"from": "data", "title": "imbalance", "to": "post-discharge readmissions"}, {"from": "data", "title": "contains", "to": "information"}, {"from": "data", "title": "mix", "to": "tabular and unstructured"}, {"from": "data", "title": "and", "to": "enrich"}, {"from": "data", "title": "tokenized using", "to": "BERT base tokenizer"}, {"from": "data", "title": "IOB tagging scheme", "to": "BERT variant models"}, {"from": "data", "title": "CRF layer as tag encoding", "to": "BERT variants in medical domain"}, {"from": "data", "title": "augmentation", "to": "approach"}, {"from": "data", "title": "using", "to": "mixed structured and free text EHR data"}, {"from": "data", "title": "statistics", "to": "biomedical"}, {"from": "data", "title": "informatics", "to": "center"}, {"from": "data", "title": "knowledge", "to": "at"}, {"from": "data", "title": "text", "to": "similarity"}, {"from": "data", "title": "statistics", "to": "multimodal"}, {"from": "data", "title": "statistics", "to": "instruction"}, {"from": "data", "title": "statistics", "to": "responses"}, {"from": "data", "title": "statistics", "to": "visual"}, {"from": "data", "title": "statistics", "to": "chat"}, {"from": "data", "title": "statistics", "to": "medical"}, {"from": "data", "title": "terminology", "to": "report"}, {"from": "data", "title": "statistics", "to": "alignment"}, {"from": "data", "title": "process", "to": "directions"}, {"from": "data", "title": "process", "to": "frames"}, {"from": "data", "title": "tools", "to": "fastalign"}, {"from": "data", "title": "tools", "to": "awesome-align"}, {"from": "data", "title": "statistics", "to": "tuning"}, {"from": "data", "title": "statistics", "to": "epochs"}, {"from": "data", "title": "statistics", "to": "samples"}, {"from": "data", "title": "statistics", "to": "hours"}, {"from": "data", "title": "statistics", "to": "downstrea"}, {"from": "data", "title": "heterogeneity", "to": "in HKGs"}, {"from": "data", "title": "in", "to": "HKGs"}, {"from": "data", "title": "in", "to": "medical concepts"}, {"from": "data", "title": "gather", "to": "medical literature"}, {"from": "data", "title": "gather", "to": "clinical trials"}, {"from": "data", "title": "gather", "to": "patientgenerated data"}, {"from": "data", "title": "extract", "to": "medical entities"}, {"from": "data", "title": "extract", "to": "relationships"}, {"from": "data", "title": "transform", "to": "to structured format"}, {"from": "data", "title": "map", "to": "entities and relationships"}, {"from": "data", "title": "map", "to": "to chosen ontologies"}, {"from": "data", "title": "collection", "to": "PubMed"}, {"from": "data", "title": "is", "to": "database"}, {"from": "data", "title": "contains", "to": "drug"}, {"from": "data", "title": "contains", "to": "protein"}, {"from": "data", "title": "contains", "to": "category"}, {"from": "data", "title": "contains", "to": "ATC pathway."}, {"from": "data", "title": "collection", "to": "navigational queries"}, {"from": "data", "title": "collection", "to": "Field Sensor"}, {"from": "data", "title": "collection", "to": "removed articles"}, {"from": "data", "title": "collection", "to": "articles without titles or abstracts"}, {"from": "data analysis", "title": "observed", "to": "overlap"}, {"from": "data analysis", "title": "disease names", "to": "population entities"}, {"from": "data analysis", "title": "interventions", "to": "chemical names"}, {"from": "treatment", "title": "continued", "to": "for"}, {"from": "treatment", "title": "many", "to": "research"}, {"from": "research", "title": "on", "to": "transfer"}, {"from": "research", "title": "on", "to": "multi-task"}, {"from": "research", "title": "Wang et al.", "to": "framework"}, {"from": "research", "title": "Rajkumar et al.", "to": "execution accuracy"}, {"from": "research", "title": "on", "to": "improve"}, {"from": "patient", "title": "had", "to": "some"}, {"from": "patient", "title": "research", "to": "on"}, {"from": "patient", "title": "received", "to": "any"}, {"from": "patient", "title": "been", "to": "normal"}, {"from": "patient", "title": "been", "to": "prescribed"}, {"from": "patient", "title": "gender", "to": "ditems.label"}, {"from": "patient", "title": "subjectid", "to": "uniquepid"}, {"from": "patient", "title": "has", "to": "chronic"}, {"from": "patient", "title": "has", "to": "both"}, {"from": "patient", "title": "approaches", "to": "require"}, {"from": "patient", "title": "disease names", "to": "ICD names"}, {"from": "patient", "title": "via", "to": "a model"}, {"from": "patient", "title": "finetuning", "to": "through"}, {"from": "patient", "title": "has", "to": "more"}, {"from": "patient", "title": "have", "to": "concave left atrial appendage"}, {"from": "patient", "title": "have", "to": "third molar sign"}, {"from": "patient", "title": "have", "to": "superiordisplacement of left main stem bronchus"}, {"from": "patient", "title": "have", "to": "rounded cardiac apex"}, {"from": "patient", "title": "have", "to": "shmoosign"}, {"from": "patient", "title": "have", "to": "Hoffman-Riglersign"}, {"from": "patient", "title": "have", "to": "tag"}, {"from": "patient", "title": "is", "to": "year-old man"}, {"from": "patient", "title": "swelling of legs and face", "to": "increasing"}, {"from": "patient", "title": "swelling of legs and face", "to": "past months"}, {"from": "patient", "title": "comes to office", "to": "has"}, {"from": "patient", "title": "comes to office", "to": "preoperative evaluation"}, {"from": "patient", "title": "comes to physician", "to": "heartburn"}, {"from": "patient", "title": "has", "to": "difficulty swallowing"}, {"from": "patient", "title": "takes over--counter antacids", "to": "relieves discomfort"}, {"from": "patient", "title": "comes to office", "to": "blood in urine"}, {"from": "patient", "title": "comes to office", "to": "blood in his urine"}, {"from": "patient", "title": "total body surface area", "to": "flame burn"}, {"from": "patient", "title": "inhalation injury", "to": "polymers"}, {"from": "patient", "title": "inhalation injury", "to": "combustion"}, {"from": "patient", "title": "has", "to": "type diabetes mellitus"}, {"from": "patient", "title": "has", "to": "metformin and vildagliptin"}, {"from": "patient", "title": "has", "to": "smoked cigarettes daily"}, {"from": "patient", "title": "has", "to": "no family history"}, {"from": "patient", "title": "has", "to": "moderate abdominal obesity"}, {"from": "patient", "title": "lived in", "to": "sub-Saharan Africa"}, {"from": "patient", "title": "came to USA", "to": "graduate school"}, {"from": "patient", "title": "lived", "to": "USA"}, {"from": "patient", "title": "is", "to": "migraine"}, {"from": "patient", "title": "is", "to": "treatment"}, {"from": "patient", "title": "continued", "to": "for"}, {"from": "patient", "title": "referred to", "to": "surgeon"}, {"from": "patient", "title": "recommended", "to": "adrenalectomy"}, {"from": "patient", "title": "no significant findings", "to": "physical examination"}, {"from": "patient", "title": "drug", "to": "items"}, {"from": "patient", "title": "in", "to": "Consultation Checklist"}, {"from": "patient", "title": "similar to", "to": "Summarization Content Units"}, {"from": "patient", "title": "is", "to": "patientweight"}, {"from": "patient", "title": "is", "to": "patientagegroup"}, {"from": "patient", "title": "is", "to": "patientsex"}, {"from": "patient", "title": "as", "to": "MedDRA"}, {"from": "patient", "title": "2-week history", "to": "fever"}, {"from": "patient", "title": "cough", "to": "shortness of breath"}, {"from": "patient", "title": "is", "to": "patient with a history of coronary artery disease"}, {"from": "patient", "title": "experiencing", "to": "lower GI bleed"}, {"from": "patient", "title": "refused", "to": "PT evaluation"}, {"from": "patient", "title": "ambulating independently", "to": "without difficulty"}, {"from": "patient", "title": "discharged to home", "to": "with her husband"}, {"from": "diagnosis", "title": "diagnosisname", "to": "prescriptions"}, {"from": "diagnosis", "title": "is", "to": "doctor"}, {"from": "diagnosis", "title": "should be selected from", "to": "possible diagnoses"}, {"from": "medical", "title": "terminology", "to": "report"}, {"from": "medical", "title": "mentions", "to": "parts of body"}, {"from": "medical", "title": "mentions", "to": "patellofemoral joint"}, {"from": "medical", "title": "mentions", "to": "intercondylar"}, {"from": "medical", "title": "mentions", "to": "damage to cartilage"}, {"from": "medical", "title": "mentions", "to": "swelling"}, {"from": "medical", "title": "mentions", "to": "damage to ligaments"}, {"from": "medical", "title": "mentions", "to": "meniscus"}, {"from": "medical", "title": "mentions", "to": "tear in semimembranosus muscle"}, {"from": "medical", "title": "says", "to": "may"}, {"from": "medical", "title": "says", "to": "ligaments"}, {"from": "medical", "title": "says", "to": "completely torn"}, {"from": "medical", "title": "says", "to": "other"}, {"from": "medical", "title": "says", "to": "okay"}, {"from": "medical", "title": "says", "to": "there"}, {"from": "medical", "title": "mentions", "to": "no evidence"}, {"from": "medical", "title": "shows", "to": "glioblastoma"}, {"from": "medical", "title": "shows", "to": "contrast-enhancing mass"}, {"from": "medical", "title": "shows", "to": "swelling around mass"}, {"from": "medical", "title": "says", "to": "there is no new mass"}, {"from": "medical", "title": "says", "to": "there are no signs of problems with blood \ufb02ow to brain"}, {"from": "medical", "title": "says", "to": "there are no signs of problems with \ufb02uid that surrounds brain"}, {"from": "medical", "title": "says", "to": "doctors have concluded"}, {"from": "medical", "title": "says", "to": "the mass on back of head is likely a type of brain tumor called a glioblastoma"}, {"from": "medical", "title": "says", "to": "the mass on front of head is not new"}, {"from": "medical", "title": "original findings", "to": "CT scans"}, {"from": "medical", "title": "mentions", "to": "some"}, {"from": "medical", "title": "mentions", "to": "some scans"}, {"from": "medical", "title": "mentions", "to": "different parts"}, {"from": "medical", "title": "mentions", "to": "infection"}, {"from": "medical", "title": "mentions", "to": "thyroid gland"}, {"from": "medical", "title": "mentions", "to": "chest or belly"}, {"from": "medical", "title": "mentions", "to": "liver"}, {"from": "medical", "title": "mentions", "to": "gallbladder"}, {"from": "medical", "title": "mentions", "to": "pancreas"}, {"from": "medical", "title": "mentions", "to": "kidneys"}, {"from": "medical", "title": "mentions", "to": "bones"}, {"from": "medical", "title": "no evidence", "to": "cancer has come back"}, {"from": "medical", "title": "says", "to": "person has cancer"}, {"from": "medical", "title": "says", "to": "treatment is working"}, {"from": "medical", "title": "says", "to": "no evidence of cancer spreading"}, {"from": "medical", "title": "says", "to": "normal heart"}, {"from": "medical", "title": "says", "to": "bigger thyroid gland"}, {"from": "medical", "title": "says", "to": "no extra \ufb02uid"}, {"from": "medical", "title": "says", "to": "no infection in lungs"}, {"from": "treatments", "title": "for migraines", "to": "include"}, {"from": "treatments", "title": "include medication", "to": "non-pharmacological therapies"}, {"from": "systems", "title": "submitted", "to": "to shared task leaderboard"}, {"from": "referrals", "title": "text", "to": "\"unspecific consultation\""}, {"from": "tests", "title": "included", "to": "taking pictures"}, {"from": "classification", "title": "problem", "to": "framing"}, {"from": "Classification", "title": "RGN", "to": "PRX"}, {"from": "healthcare", "title": "presents", "to": "distinct challenges"}, {"from": "healthcare", "title": "handling", "to": "specialized medical terminology"}, {"from": "healthcare", "title": "managing", "to": "ambiguity and variability"}, {"from": "healthcare", "title": "high demands", "to": "reliability and accuracy"}, {"from": "healthcare", "title": "industry", "to": "has seen"}, {"from": "healthcare", "title": "has seen", "to": "many"}, {"from": "healthcare", "title": "studies", "to": "have explored"}, {"from": "healthcare", "title": "attempts", "to": "to"}, {"from": "healthcare", "title": "many", "to": "challenges"}, {"from": "healthcare", "title": "even more", "to": "pronounced"}, {"from": "healthcare", "title": "summarization", "to": "CHQs"}, {"from": "healthcare", "title": "posed", "to": "by"}, {"from": "healthcare", "title": "challenges", "to": "manual"}, {"from": "healthcare", "title": "challenges", "to": "automated"}, {"from": "healthcare", "title": "automated", "to": "ICD"}, {"from": "healthcare", "title": "codes", "to": "description"}, {"from": "healthcare", "title": "is a code for", "to": "DISCUSSION AND CONCLUSION"}, {"from": "healthcare", "title": "is a code for", "to": "diseases"}, {"from": "healthcare", "title": "is a code for", "to": "heart diseases"}, {"from": "healthcare", "title": "is", "to": "a fully digitised tool"}, {"from": "healthcare", "title": "planned global implementation", "to": "of"}, {"from": "healthcare", "title": "rapid developments", "to": "in"}, {"from": "healthcare", "title": "a renewed interest", "to": "in automated ICD coding"}, {"from": "healthcare", "title": "for", "to": "ICD-labeled"}, {"from": "healthcare", "title": "labeled", "to": "discharge summaries"}, {"from": "healthcare", "title": "is", "to": "code"}, {"from": "healthcare", "title": "automated", "to": "ICD coding"}]);
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nodeColors = {};
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allNodes = nodes.get({ returnType: "Object" });
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network.on("stabilizationProgress", function(params) {
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network.once("stabilizationIterationsDone", function() {
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</div>
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<script type="text/javascript">
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// parsing and collecting nodes and edges from the python
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+
nodes = new vis.DataSet([{"color": "#97c2fc", "id": "clinicians", "label": "clinicians", "shape": "dot", "title": "clinicians"}, {"color": "#97c2fc", "id": "remote", "label": "remote", "shape": "dot", "title": "remote"}, {"color": "#97c2fc", "id": "TKM", "label": "TKM", "shape": "dot", "title": "TKM"}, {"color": "#97c2fc", "id": "decision-making", "label": "decision-making", "shape": "dot", "title": "decision-making"}, {"color": "#97c2fc", "id": "semantic web", "label": "semantic web", "shape": "dot", "title": "semantic web"}, {"color": "#97c2fc", "id": "ontologies", "label": "ontologies", "shape": "dot", "title": "ontologies"}, {"color": "#97c2fc", "id": "data", "label": "data", "shape": "dot", "title": "data"}, {"color": "#97c2fc", "id": "deep learning models", "label": "deep learning models", "shape": "dot", "title": "deep learning models"}, {"color": "#97c2fc", "id": "patient outcomes prediction", "label": "patient outcomes prediction", "shape": "dot", "title": "patient outcomes prediction"}, {"color": "#97c2fc", "id": "post-discharge readmissions", "label": "post-discharge readmissions", "shape": "dot", "title": "post-discharge readmissions"}, {"color": "#97c2fc", "id": "information", "label": "information", "shape": "dot", "title": "information"}, {"color": "#97c2fc", "id": "tabular and unstructured", "label": "tabular and unstructured", "shape": "dot", "title": "tabular and unstructured"}, {"color": "#97c2fc", "id": "enrich", "label": "enrich", "shape": "dot", "title": "enrich"}, {"color": "#97c2fc", "id": "BERT base tokenizer", "label": "BERT base tokenizer", "shape": "dot", "title": "BERT base tokenizer"}, {"color": "#97c2fc", "id": "BERT variant models", "label": "BERT variant models", "shape": "dot", "title": "BERT variant models"}, {"color": "#97c2fc", "id": "BERT variants in medical domain", "label": "BERT variants in medical domain", "shape": "dot", "title": "BERT variants in medical domain"}, {"color": "#97c2fc", "id": "approach", "label": "approach", "shape": "dot", "title": "approach"}, {"color": "#97c2fc", "id": "biomedical", "label": "biomedical", "shape": "dot", "title": "biomedical"}, {"color": "#97c2fc", "id": "multimodal", "label": "multimodal", "shape": "dot", "title": "multimodal"}, {"color": "#97c2fc", "id": "instruction", "label": "instruction", "shape": "dot", "title": "instruction"}, {"color": "#97c2fc", "id": "responses", "label": "responses", "shape": "dot", "title": "responses"}, {"color": "#97c2fc", "id": "visual", "label": "visual", "shape": "dot", "title": "visual"}, {"color": "#97c2fc", "id": "chat", "label": "chat", "shape": "dot", "title": "chat"}, {"color": "#97c2fc", "id": "medical", "label": "medical", "shape": "dot", "title": "medical"}, {"color": "#97c2fc", "id": "alignment", "label": "alignment", "shape": "dot", "title": "alignment"}, {"color": "#97c2fc", "id": "tuning", "label": "tuning", "shape": "dot", "title": "tuning"}, {"color": "#97c2fc", "id": "epochs", "label": "epochs", "shape": "dot", "title": "epochs"}, {"color": "#97c2fc", "id": "samples", "label": "samples", "shape": "dot", "title": "samples"}, {"color": "#97c2fc", "id": "hours", "label": "hours", "shape": "dot", "title": "hours"}, {"color": "#97c2fc", "id": "downstrea", "label": "downstrea", "shape": "dot", "title": "downstrea"}, {"color": "#97c2fc", "id": "in HKGs", "label": "in HKGs", "shape": "dot", "title": "in HKGs"}, {"color": "#97c2fc", "id": "HKGs", "label": "HKGs", "shape": "dot", "title": "HKGs"}, {"color": "#97c2fc", "id": "medical concepts", "label": "medical concepts", "shape": "dot", "title": "medical concepts"}, {"color": "#97c2fc", "id": "medical literature", "label": "medical literature", "shape": "dot", "title": "medical literature"}, {"color": "#97c2fc", "id": "clinical trials", "label": "clinical trials", "shape": "dot", "title": "clinical trials"}, {"color": "#97c2fc", "id": "patientgenerated data", "label": "patientgenerated data", "shape": "dot", "title": "patientgenerated data"}, {"color": "#97c2fc", "id": "medical entities", "label": "medical entities", "shape": "dot", "title": "medical entities"}, {"color": "#97c2fc", "id": "relationships", "label": "relationships", "shape": "dot", "title": "relationships"}, {"color": "#97c2fc", "id": "to structured format", "label": "to structured format", "shape": "dot", "title": "to structured format"}, {"color": "#97c2fc", "id": "entities and relationships", "label": "entities and relationships", "shape": "dot", "title": "entities and relationships"}, {"color": "#97c2fc", "id": "to chosen ontologies", "label": "to chosen ontologies", "shape": "dot", "title": "to chosen ontologies"}, {"color": "#97c2fc", "id": "PubMed", "label": "PubMed", "shape": "dot", "title": "PubMed"}, {"color": "#97c2fc", "id": "navigational queries", "label": "navigational queries", "shape": "dot", "title": "navigational queries"}, {"color": "#97c2fc", "id": "Field Sensor", "label": "Field Sensor", "shape": "dot", "title": "Field Sensor"}, {"color": "#97c2fc", "id": "removed articles", "label": "removed articles", "shape": "dot", "title": "removed articles"}, {"color": "#97c2fc", "id": "articles without titles or abstracts", "label": "articles without titles or abstracts", "shape": "dot", "title": "articles without titles or abstracts"}, {"color": "#97c2fc", "id": "predictions", "label": "predictions", "shape": "dot", "title": "predictions"}, {"color": "#97c2fc", "id": "classification", "label": "classification", "shape": "dot", "title": "classification"}, {"color": "#97c2fc", "id": "framing", "label": "framing", "shape": "dot", "title": "framing"}, {"color": "#97c2fc", "id": "records", "label": "records", "shape": "dot", "title": "records"}, {"color": "#97c2fc", "id": "features", "label": "features", "shape": "dot", "title": "features"}, {"color": "#97c2fc", "id": "utilizing", "label": "utilizing", "shape": "dot", "title": "utilizing"}, {"color": "#97c2fc", "id": "new paradigm", "label": "new paradigm", "shape": "dot", "title": "new paradigm"}, {"color": "#97c2fc", "id": "NLEKMD", "label": "NLEKMD", "shape": "dot", "title": "NLEKMD"}, {"color": "#97c2fc", "id": "TKM clinicians", "label": "TKM clinicians", "shape": "dot", "title": "TKM clinicians"}]);
|
92 |
+
edges = new vis.DataSet([{"from": "clinicians", "title": "local", "to": "remote"}, {"from": "TKM", "title": "is", "to": "decision-making"}, {"from": "TKM", "title": "is", "to": "semantic web"}, {"from": "TKM", "title": "is", "to": "ontologies"}, {"from": "TKM", "title": "implicit", "to": "data"}, {"from": "TKM", "title": "limitation", "to": "deep learning models"}, {"from": "TKM", "title": "shortage", "to": "patient outcomes prediction"}, {"from": "TKM", "title": "imbalance", "to": "post-discharge readmissions"}, {"from": "TKM", "title": "contains", "to": "information"}, {"from": "TKM", "title": "mix", "to": "tabular and unstructured"}, {"from": "TKM", "title": "and", "to": "enrich"}, {"from": "TKM", "title": "tokenized using", "to": "BERT base tokenizer"}, {"from": "TKM", "title": "IOB tagging scheme", "to": "BERT variant models"}, {"from": "TKM", "title": "CRF layer as tag encoding", "to": "BERT variants in medical domain"}, {"from": "TKM", "title": "augmentation", "to": "approach"}, {"from": "TKM", "title": "statistics", "to": "biomedical"}, {"from": "TKM", "title": "statistics", "to": "multimodal"}, {"from": "TKM", "title": "statistics", "to": "instruction"}, {"from": "TKM", "title": "statistics", "to": "responses"}, {"from": "TKM", "title": "statistics", "to": "visual"}, {"from": "TKM", "title": "statistics", "to": "chat"}, {"from": "TKM", "title": "statistics", "to": "medical"}, {"from": "TKM", "title": "statistics", "to": "alignment"}, {"from": "TKM", "title": "statistics", "to": "tuning"}, {"from": "TKM", "title": "statistics", "to": "epochs"}, {"from": "TKM", "title": "statistics", "to": "samples"}, {"from": "TKM", "title": "statistics", "to": "hours"}, {"from": "TKM", "title": "statistics", "to": "downstrea"}, {"from": "TKM", "title": "heterogeneity", "to": "in HKGs"}, {"from": "TKM", "title": "in", "to": "HKGs"}, {"from": "TKM", "title": "in", "to": "medical concepts"}, {"from": "TKM", "title": "gather", "to": "medical literature"}, {"from": "TKM", "title": "gather", "to": "clinical trials"}, {"from": "TKM", "title": "gather", "to": "patientgenerated data"}, {"from": "TKM", "title": "extract", "to": "medical entities"}, {"from": "TKM", "title": "extract", "to": "relationships"}, {"from": "TKM", "title": "transform", "to": "to structured format"}, {"from": "TKM", "title": "map", "to": "entities and relationships"}, {"from": "TKM", "title": "map", "to": "to chosen ontologies"}, {"from": "TKM", "title": "collection", "to": "PubMed"}, {"from": "TKM", "title": "collection", "to": "navigational queries"}, {"from": "TKM", "title": "collection", "to": "Field Sensor"}, {"from": "TKM", "title": "collection", "to": "removed articles"}, {"from": "TKM", "title": "collection", "to": "articles without titles or abstracts"}, {"from": "TKM", "title": "patterns", "to": "predictions"}, {"from": "TKM", "title": "algorithms", "to": "classification"}, {"from": "TKM", "title": "problem", "to": "framing"}, {"from": "TKM", "title": "medical", "to": "records"}, {"from": "TKM", "title": "key", "to": "features"}, {"from": "TKM", "title": "models", "to": "utilizing"}, {"from": "TKM", "title": "could benefit from", "to": "new paradigm"}, {"from": "TKM", "title": "near-passing performance", "to": "NLEKMD"}]);
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nodeColors = {};
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allNodes = nodes.get({ returnType: "Object" });
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return network;
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