Machine learning-based prediction model for cognitive frailty in elderly patients with ischaemic stroke: a prospective cohort study - Top-Institutions - MDSpire

Machine learning-based prediction model for cognitive frailty in elderly patients with ischaemic stroke: a prospective cohort study

  • By

  • Xuan Chen

  • Linjie Zhou

  • Ying Zhang

  • Tuonan Liu

  • Bo Yan

  • Yang Li

  • Yan Hua

  • June 5, 2026

  • 0 min

Share

Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Air Force Medical University
    Air Force Medical University

    Xian, Shaanxi

    Key Differentiators

    • Neurology

  • #2

    University Psychiatric Clinic Ljubljana
    University Psychiatric Clinic Ljubljana

    Ljubljana, Slovenia

    Key Differentiators

    • Psychiatry
    • Neurology

  • #3

    Sheba Medical Center
    Sheba Medical Center

    Tel Hashomer, Israel

    Key Differentiators

    • Geriatrics
    • Neurology

  • #4

    MIMIC-IV
    MIMIC-IV

    Boston, Massachusetts

    Key Differentiators

    • Critical Care
    • Neurology

  • #5

    eICU-CRD
    eICU-CRD

    Boston, Massachusetts

    Key Differentiators

    • Critical Care
    • Neurology

Original Source(s)

Machine learning-based prediction model for cognitive frailty in elderly patients with ischaemic stroke: a prospective cohort study

  • by Xuan Chen, Linjie Zhou, Ying Zhang, Tuonan Liu, Bo Yan, Yang Li, Yan Hua

  • June 5, 2026

Related Content

Oral and gut microbiota dysbiosis with strengthened oral–gut connectivity in post-stroke cognitive impairment

Prognostic significance of coagulation factor activity in acute stroke: a retrospective cohort study

Factors Underlying Stroke Recovery Variation by Neighborhood Socioeconomic Status