data-is-everything/journal-retrieval-code

1---2license: mit3datasets:4- ncbi/pubmed5language:6- en7tags:8- medical9- biology10- code11---12# Model Card: Journal Retrieval Code Model13 14## Model Description15- **Model Name**: Journal Retrieval Code Model16- **Model Architecture**: Biopython-based data extraction and retrieval17- **Intended Use**: Extracts and retrieves journal data from PubMed articles using PM IDs.18- **License**: MIT License19 20## Training Data21- **Dataset**: The model was used on PubMed articles data.22- **Data Preprocessing**: Data was preprocessed by extracting relevant fields such as abstract, title, journal, language, year, and month.23 24## Training Procedure25- **Hyperparameters**: N/A26- **Training Duration**: N/A27- **Compute Resources**: N/A28 29## Evaluation30- **Metrics**: Accuracy of data retrieval and parsing31- **Results**: N/A32- **Evaluation Data**: Various PM IDs provided by users.33 34## Intended Use Cases35- **Primary Use Case**: Academic research, systematic reviews, and meta-analyses.36- **Secondary Use Cases**: General data extraction for biomedical research.37- **Misuse**: Not suitable for extracting data outside the PubMed database. May not handle edge cases well.38 39## Limitations40- **Known Limitations**: Only works with PubMed data and requires valid PM IDs.41- **Potential Biases**: Relies on the availability and accuracy of PubMed's data.42 43## How to Use44### Installation45Install the necessary dependencies:46```bash47pip install biopython pandas huggingface_hub