| --- |
| 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 |
