Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS - Top-Institutions - MDSpire

Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS

  • By

  • Jiahao Chen

  • Yisi Lin

  • Rui Hu

  • Chuanchen Hu

  • October 14, 2025

  • 0 min

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Top Institutions in Psychiatry

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Psychiatry
    • Metabolic Disorders
    • Biomedical Informatics

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Psychiatry
    • Endocrinology
    • Data Science

  • #3

    University of California, San Francisco
    University of California, San Francisco

    San Francisco, CA

    Key Differentiators

    • Psychiatry
    • Metabolic Medicine
    • Biomedical Informatics

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Psychiatry
    • Endocrinology
    • Clinical Informatics

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Psychiatry
    • Metabolic Research
    • Artificial Intelligence

Original Source(s)

Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS

  • by Jiahao Chen, Yisi Lin, Rui Hu, Chuanchen Hu

  • October 14, 2025

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