Yu-Group/clinical-rule-vetting
Learning clinical-decision rules with interpretable models.
This project helps clinicians and medical researchers validate and create new clinical decision rules using existing patient data. By inputting anonymized patient records with known outcomes (like presence of injury or disease), it outputs rigorously tested, interpretable rules that can aid in diagnosis or risk assessment. The tool is designed for medical professionals, epidemiologists, and clinical researchers who develop or evaluate diagnostic criteria.
No commits in the last 6 months.
Use this if you need to systematically evaluate existing clinical decision rules or derive new, transparent rules from patient data to predict outcomes like injury or disease.
Not ideal if you are looking for a black-box predictive model or if your data is not structured for rule-based interpretation.
Stars
21
Forks
11
Language
Jupyter Notebook
License
MIT
Last pushed
Aug 10, 2023
Commits (30d)
0
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