A hierarchical machine learning model for predicting self-harm and suicidal behavior in hospitalized patients with schizophrenia using clinical history and nursing observations - Top-Institutions - MDSpire

A hierarchical machine learning model for predicting self-harm and suicidal behavior in hospitalized patients with schizophrenia using clinical history and nursing observations

  • By

  • Liang, Chen

  • Meng, Xianfeng

  • Duan, Ying

  • Yang, Wei

  • Zhu, Gang

  • Wang, Jinhuan

  • Sun, Ying

  • Wang, Mingtao

  • Liu, Miao

  • Sun, Chenhui

  • Hu, Kunyuan

  • Shao, Wei

  • Ren, Jintao

  • Shao, Xiaojun

  • Zhang, Yang

  • April 24, 2026

  • 0 min

Share

Top Institutions in Psychiatry

Brief introduction explaining scope and methodology.

  • #1

    Liaoning Province
    Liaoning Province

    Shenyang, Liaoning

    Key Differentiators

    • Psychiatry

  • #2

    University Psychiatric Clinic Ljubljana
    University Psychiatric Clinic Ljubljana

    Ljubljana, Slovenia

    Key Differentiators

    • Psychiatry

  • #3

    South London and Maudsley NHS Foundation Trust
    South London and Maudsley NHS Foundation Trust

    London, England

    Key Differentiators

    • Psychiatry

  • #4

    Kaiser Permanente Northern California
    Kaiser Permanente Northern California

    Oakland, California

    Key Differentiators

    • Psychiatry

  • #5

    Beth Israel Deaconess Medical Center
    Beth Israel Deaconess Medical Center

    Boston, Massachusetts

    Key Differentiators

    • Psychiatry

Original Source(s)

A hierarchical machine learning model for predicting self-harm and suicidal behavior in hospitalized patients with schizophrenia using clinical history and nursing observations

  • by Liang, Chen , Meng, Xianfeng , Duan, Ying , Yang, Wei , Zhu, Gang , Wang, Jinhuan , Sun, Ying , Wang, Mingtao , Liu, Miao , Sun, Chenhui , Hu, Kunyuan , Shao, Wei , Ren, Jintao , Shao, Xiaojun , Zhang, Yang

  • April 24, 2026

Related Content

Impact of Untreated Psychosis Duration on Short-Term Outcomes in Initial Episodes of Schizophrenia

Artificial intelligence approaches for schizophrenia prediction and its biomarkers using medical imaging data

Markers of neuroinflammation in the CSF of patients with difficult to treat psychiatric disease