NLPReViz/emr-vis-web
An Interactive Tool for Natural Language Processing on Clinical Text
This tool helps healthcare professionals and researchers analyze unstructured clinical text, such as doctor's notes or pathology reports. You input raw clinical text, and it visually highlights key medical concepts and relationships. It's designed for clinical researchers, medical coders, or quality improvement specialists who need to extract structured information from free-text patient records.
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Use this if you need an interactive way to explore and understand medical concepts within large volumes of clinical free-text data, particularly for tasks like identifying specific medical conditions or treatment outcomes.
Not ideal if you are looking for a standalone, out-of-the-box application for general text analysis or if you don't have the technical expertise to set up and configure a web server and a backend NLP service.
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23
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7
Language
JavaScript
License
GPL-3.0
Category
Last pushed
Aug 20, 2021
Commits (30d)
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