Explainable machine learning for hypertension prevalence classification: a cross-sectional study in Hainan Province, China - Top-Institutions - MDSpire

Utilizing Explainable Machine Learning to Classify Hypertension Prevalence: A Cross-Sectional Analysis in Hainan Province, China

  • By

  • Yuewei Wu

  • Shan Huang

  • Miaomiao Qi

  • Yuanyuan Zhang

  • Mei Lu

  • Tianfa Li

  • Yueqiong Kong

  • July 17, 2026

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Cardiology
    • Heart & Vascular Surgery

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, Ohio

    Key Differentiators

    • Cardiology
    • Heart & Vascular Surgery

  • #3

    Instituto Nacional de Cardiología Ignacio Chávez
    Instituto Nacional de Cardiología Ignacio Chávez

    Mexico City, Mexico

    Key Differentiators

    • Cardiology

  • #4

    Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
    Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

    Wuhan, Hubei

    Key Differentiators

    • Cardiology

  • #5

    Sichuan Provincial People’s Hospital
    Sichuan Provincial People’s Hospital

    Chengdu, Sichuan

    Key Differentiators

    • Cardiology

Original Source(s)

Explainable machine learning for hypertension prevalence classification: a cross-sectional study in Hainan Province, China

  • by Yuewei Wu, Shan Huang, Miaomiao Qi, Yuanyuan Zhang, Mei Lu, Tianfa Li, Yueqiong Kong

  • July 17, 2026

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