lindvalllab/MLSym
Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes
This project helps cancer researchers and clinicians quickly identify and track patient symptoms reported in unstructured clinical notes within electronic health records (EHR). It takes raw EHR clinical notes as input and outputs structured data detailing current symptoms. This tool is designed for medical researchers, clinical trial managers, and public health professionals monitoring cancer patient outcomes.
No commits in the last 6 months.
Use this if you need to automatically extract reported symptoms from a large volume of unstructured clinical notes to monitor cancer patient health, evaluate treatments, or conduct observational studies.
Not ideal if you are looking for a tool to extract general medical conditions beyond symptoms or if your data is not in clinical note format.
Stars
8
Forks
6
Language
Python
License
GPL-2.0
Category
Last pushed
Apr 06, 2022
Commits (30d)
0
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