A two-phase machine learning framework for coronary heart disease risk prediction: Integrating population ecology with individual pathophysiology - Top-Institutions - MDSpire

A two-phase machine learning framework for coronary heart disease risk prediction: Integrating population ecology with individual pathophysiology

  • By

  • Lin Yang

  • Jing Guo

  • Junwei Xu

  • July 7, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    NYU Langone Hospitals
    NYU Langone Hospitals

    New York, NY

    Key Differentiators

    • Cardiology
    • Heart & Vascular Surgery

  • #2

    Mount Sinai Fuster Heart Hospital
    Mount Sinai Fuster Heart Hospital

    New York, NY

    Key Differentiators

    • Cardiology
    • Heart & Vascular Surgery

Original Source(s)

A two-phase machine learning framework for coronary heart disease risk prediction: Integrating population ecology with individual pathophysiology

  • by Lin Yang, Jing Guo, Junwei Xu

  • July 7, 2026

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