GanjinZero/KeBioLM

Improving Biomedical Pretrained Language Models with Knowledge [BioNLP 2021]

27
/ 100
Experimental

This project helps biomedical researchers and data scientists extract structured information from medical texts like research papers or clinical notes. It takes raw text as input and identifies specific entities (like diseases or chemicals) and the relationships between them. This helps in understanding complex medical information more efficiently.

No commits in the last 6 months.

Use this if you need to accurately identify specific biomedical entities and their relationships within large volumes of text for tasks like literature review or drug discovery.

Not ideal if your primary need is general-purpose text analysis outside of the biomedical domain or if you lack a technical background in machine learning model fine-tuning.

biomedical-text-mining named-entity-recognition relation-extraction pharmacovigilance clinical-informatics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 11 / 25

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6

Language

Python

License

Last pushed

Feb 06, 2023

Commits (30d)

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