justinphan3110/SciFive

SciFive: a text-text transformer model for biomedical literature

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SciFive helps researchers, scientists, and medical professionals automatically extract specific information from large volumes of biomedical text, such as research papers and clinical notes. You input a piece of biomedical text and specify the type of information you're looking for, and it outputs the extracted entities like chemicals, diseases, or drug interactions. It's designed for anyone working with biomedical literature who needs to quickly identify key facts and relationships.

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Use this if you need to efficiently process biomedical literature to identify entities like chemicals, diseases, genes, or drug interactions, or to classify documents.

Not ideal if your primary need is general-purpose text summarization or question answering outside of the biomedical domain.

biomedical research literature review drug discovery medical informatics genomics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 18 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Jun 02, 2024

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