emr-nlp-server and emr-vis-web
These two tools are complements within the same ecosystem, with `emr-nlp-server` likely serving as the backend server providing NLP capabilities and `emr-vis-web` acting as the interactive web-based frontend for visualizing and interacting with the results of that NLP processing on clinical text.
About emr-nlp-server
NLPReViz/emr-nlp-server
An Interactive Tool for Natural Language Processing on Clinical Text
This project provides an interactive tool for clinical researchers and medical professionals to analyze unstructured clinical text. It takes raw electronic medical records (EMRs), such as colonoscopy and pathology reports, as input. The output is extracted, structured information about clinical variables, helping to categorize patient data or identify specific medical findings from large volumes of text.
About emr-vis-web
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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