healthcare-ml-pipeline

Guides the user through the PyHealth Python library for clinical machine learning: loading EHR and physiological signal datasets (MIMIC-III, MIMIC-IV, eICU, OMOP, sleep EEG, chest X-ray, clinical text), framing prediction tasks such as mortality, readmission, length of stay, drug recommendation, sleep staging and seizure detection, choosing models from simple baselines to healthcare specific architectures (RETAIN, SafeDrug, GAMENet, StageNet, AdaCare), translating medical codes (ICD-9, ICD-10, NDC, RxNorm, ATC, CCS), and training, evaluating, calibrating and explaining models. Use when the user wants to build, tune, debug or evaluate a clinical prediction model, preprocess EHR or signal data, or convert between medical coding vocabularies with PyHealth. Not for medical advice, diagnosis or treatment, deployment into live clinical systems, or analysis that does not use PyHealth.

Version

v1.0.0

Size

23 KB

Updated

2026-10-10

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