isaacmg/healthcare_ml

Organizes healthcare ML resources across clinical application domains—genomics, precision medicine, medical imaging, hospital operations, and signal processing—rather than by ML technique, with curated links to papers, datasets, code repositories, tools, and research groups within each category. The taxonomy prioritizes real-world healthcare use cases (OR scheduling, adverse event prediction, drug discovery) while flagging cross-domain resources separately, making it easier for practitioners to locate domain-specific implementations alongside foundational research. Covers practical tooling (DeepChem, GAMENet) alongside academic literature and conference proceedings, bridging the gap between published methods and deployable systems.

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