LHNCBC/metamaplite
A near real-time named-entity recognizer
MetaMapLite helps medical and scientific researchers quickly identify and extract key medical concepts, diseases, and chemicals from large volumes of text. You feed it research papers, clinical notes, or other biomedical documents, and it outputs a structured list of medical terms and their associated information. This tool is ideal for anyone analyzing biomedical text who needs to quickly pinpoint specific entities without deep manual review.
Use this if you need to rapidly extract medical concepts, diseases, chemicals, or other specific entities from biomedical text and you prioritize speed over the exhaustive depth of analysis provided by more rigorous systems.
Not ideal if your task requires identifying complex, multi-part concepts, understanding word meanings in different contexts, or generating new term variations, as it focuses on direct, longest-match recognition.
Stars
64
Forks
15
Language
Java
License
—
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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