smitkiri/ehr-relation-extraction
NER and Relation Extraction from Electronic Health Records (EHR).
This project helps medical professionals and patients quickly extract key information from unstructured Electronic Health Records (EHRs). By inputting clinical notes or discharge summaries, it identifies and highlights important medical entities like drugs, dosages, and adverse drug events, and also uncovers the relationships between them. The output is a structured JSON format and highlighted text, making it easier to review and store critical patient data.
No commits in the last 6 months.
Use this if you need to rapidly structure and understand critical medical information buried within lengthy, free-text electronic health records.
Not ideal if you require real-time processing of patient data in a high-stakes clinical environment without prior setup, as the hosted demo may be intermittently unavailable and direct implementation involves technical steps.
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91
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32
Language
Python
License
MIT
Category
Last pushed
Mar 16, 2022
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