NYUMedML/DeepEHR
Chronic Disease Prediction Using Medical Notes
This project helps medical researchers and healthcare data scientists predict chronic diseases using patient medical notes. You input anonymized electronic health records (EHR) containing clinical text and lab values, and the system outputs predictions for the likelihood of specific chronic diseases. This tool is designed for those studying population health or developing early warning systems in healthcare.
272 stars. No commits in the last 6 months.
Use this if you need to build and evaluate models for predicting chronic diseases from unstructured medical text and structured lab data within electronic health records.
Not ideal if you lack access to comprehensive electronic health record data or prefer a ready-to-use, off-the-shelf prediction application rather than a research framework.
Stars
272
Forks
69
Language
Python
License
MIT
Category
Last pushed
Sep 26, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/NYUMedML/DeepEHR"
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