Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,7 +1,10 @@
|
|
1 |
import streamlit as st
|
2 |
import pandas as pd
|
3 |
-
import matplotlib.pyplot as plt
|
4 |
import plotly.express as px
|
|
|
|
|
|
|
|
|
5 |
|
6 |
# Title and Description
|
7 |
st.title('Patient Data Dashboard')
|
@@ -9,9 +12,6 @@ st.write("""
|
|
9 |
This dashboard provides an overview of patient health metrics for better monitoring and decision-making.
|
10 |
""")
|
11 |
|
12 |
-
# Load Patient Data (Example DataFrame)
|
13 |
-
df = pd.read_csv('patient_data.csv')
|
14 |
-
|
15 |
# Sidebar for Patient Selection
|
16 |
st.sidebar.header('Select Patient')
|
17 |
patient_id = st.sidebar.selectbox('Patient ID', df['patient_id'].unique())
|
@@ -26,26 +26,36 @@ st.write(f"Age: {patient_data['age'].values[0]}")
|
|
26 |
st.write(f"Gender: {patient_data['gender'].values[0]}")
|
27 |
st.write(f"Medical History: {patient_data['medical_history'].values[0]}")
|
28 |
|
29 |
-
#
|
30 |
st.header('Vital Signs Over Time')
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
fig = px.line(patient_data, x='date', y='blood_glucose', title='Blood Glucose Over Time')
|
42 |
st.plotly_chart(fig)
|
43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
44 |
# Alerts and Notifications
|
45 |
st.header('Alerts')
|
46 |
-
if
|
47 |
st.error('High heart rate detected!')
|
48 |
-
if
|
49 |
st.error('High blood pressure detected!')
|
50 |
|
51 |
# Download Button for Patient Data
|
|
|
1 |
import streamlit as st
|
2 |
import pandas as pd
|
|
|
3 |
import plotly.express as px
|
4 |
+
import matplotlib.pyplot as plt
|
5 |
+
|
6 |
+
# Load patient data
|
7 |
+
df = pd.read_csv('patient_data.csv')
|
8 |
|
9 |
# Title and Description
|
10 |
st.title('Patient Data Dashboard')
|
|
|
12 |
This dashboard provides an overview of patient health metrics for better monitoring and decision-making.
|
13 |
""")
|
14 |
|
|
|
|
|
|
|
15 |
# Sidebar for Patient Selection
|
16 |
st.sidebar.header('Select Patient')
|
17 |
patient_id = st.sidebar.selectbox('Patient ID', df['patient_id'].unique())
|
|
|
26 |
st.write(f"Gender: {patient_data['gender'].values[0]}")
|
27 |
st.write(f"Medical History: {patient_data['medical_history'].values[0]}")
|
28 |
|
29 |
+
# Visualization of Vital Signs
|
30 |
st.header('Vital Signs Over Time')
|
31 |
+
|
32 |
+
# Line Chart for Heart Rate
|
33 |
+
fig = px.line(patient_data, x='date', y='heart_rate', title='Heart Rate Over Time')
|
34 |
+
st.plotly_chart(fig)
|
35 |
+
|
36 |
+
# Line Chart for Blood Pressure
|
37 |
+
fig = px.line(patient_data, x='date', y='blood_pressure', title='Blood Pressure Over Time')
|
38 |
+
st.plotly_chart(fig)
|
39 |
+
|
40 |
+
# Line Chart for Blood Glucose
|
41 |
fig = px.line(patient_data, x='date', y='blood_glucose', title='Blood Glucose Over Time')
|
42 |
st.plotly_chart(fig)
|
43 |
|
44 |
+
# Dropdown for selecting specific visit details
|
45 |
+
st.header('Previous Visit Details')
|
46 |
+
selected_date = st.selectbox('Select Visit Date', patient_data['date'].unique())
|
47 |
+
selected_visit = patient_data[patient_data['date'] == selected_date]
|
48 |
+
|
49 |
+
st.write(f"**Visit Date:** {selected_date}")
|
50 |
+
st.write(f"Heart Rate: {selected_visit['heart_rate'].values[0]}")
|
51 |
+
st.write(f"Blood Pressure: {selected_visit['blood_pressure'].values[0]}")
|
52 |
+
st.write(f"Blood Glucose: {selected_visit['blood_glucose'].values[0]}")
|
53 |
+
|
54 |
# Alerts and Notifications
|
55 |
st.header('Alerts')
|
56 |
+
if selected_visit['heart_rate'].values[0] > 100:
|
57 |
st.error('High heart rate detected!')
|
58 |
+
if selected_visit['blood_pressure'].values[0] > 140:
|
59 |
st.error('High blood pressure detected!')
|
60 |
|
61 |
# Download Button for Patient Data
|