OHNLP/MedTagger
MedTagger is a light weight clinical NLP system built upon Apache UIMA.
MedTagger helps clinical researchers and healthcare analysts extract specific medical information from patient records and clinical notes. You input clinical text documents and a set of rules or a dictionary, and it outputs structured data with identified medical concepts like diseases, symptoms, or medications. This is used by anyone needing to quickly find and categorize medical information within large volumes of unstructured clinical text.
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Use this if you need to systematically identify and extract specific medical concepts or symptoms from unstructured clinical text, such as patient notes or discharge summaries, for research or analysis.
Not ideal if you need a general-purpose natural language processing tool for non-medical text or require highly complex, context-dependent linguistic analysis beyond dictionary lookups and rule-based extraction.
Stars
72
Forks
19
Language
Java
License
Apache-2.0
Category
Last pushed
May 05, 2025
Commits (30d)
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