|
--- |
|
license: mit |
|
datasets: |
|
- ncbi/pubmed |
|
language: |
|
- en |
|
tags: |
|
- medical |
|
- biology |
|
- code |
|
--- |
|
# Model Card: Journal Retrieval Code Model |
|
|
|
## Model Description |
|
- **Model Name**: Journal Retrieval Code Model |
|
- **Model Architecture**: Biopython-based data extraction and retrieval |
|
- **Intended Use**: Extracts and retrieves journal data from PubMed articles using PM IDs. |
|
- **License**: MIT License |
|
|
|
## Training Data |
|
- **Dataset**: The model was used on PubMed articles data. |
|
- **Data Preprocessing**: Data was preprocessed by extracting relevant fields such as abstract, title, journal, language, year, and month. |
|
|
|
## Training Procedure |
|
- **Hyperparameters**: N/A |
|
- **Training Duration**: N/A |
|
- **Compute Resources**: N/A |
|
|
|
## Evaluation |
|
- **Metrics**: Accuracy of data retrieval and parsing |
|
- **Results**: N/A |
|
- **Evaluation Data**: Various PM IDs provided by users. |
|
|
|
## Intended Use Cases |
|
- **Primary Use Case**: Academic research, systematic reviews, and meta-analyses. |
|
- **Secondary Use Cases**: General data extraction for biomedical research. |
|
- **Misuse**: Not suitable for extracting data outside the PubMed database. May not handle edge cases well. |
|
|
|
## Limitations |
|
- **Known Limitations**: Only works with PubMed data and requires valid PM IDs. |
|
- **Potential Biases**: Relies on the availability and accuracy of PubMed's data. |
|
|
|
## How to Use |
|
### Installation |
|
Install the necessary dependencies: |
|
```bash |
|
pip install biopython pandas huggingface_hub |
