csinva/clinical-rule-development
Building and vetting clinical decision rules.
This project helps clinicians and researchers develop and validate data-driven rules for making medical decisions. It takes patient data and clinical study results to help assess the fairness and accuracy of these rules before they are put into practice. The goal is to ensure clinical decision support tools are effective and unbiased for specific patient populations.
No commits in the last 6 months.
Use this if you are a clinical researcher, medical statistician, or healthcare analyst focused on building, evaluating, or auditing clinical decision rules for patient care.
Not ideal if you are looking for a general-purpose machine learning library or tools for purely predictive modeling outside of clinical decision rule validation.
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Last pushed
Jul 14, 2025
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