data-is-everything/journal-retrieval-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:

pip install biopython pandas huggingface_hub