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

Correction: 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

  • July 15, 2026

Share

Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, Massachusetts

    Key Differentiators

    • Neurology
    • Stroke Care

  • #2

    The Johns Hopkins Hospital
    The Johns Hopkins Hospital

    Baltimore, Maryland

    Key Differentiators

    • Neurology
    • Stroke Care

  • #3

    Zhejiang Hospital
    Zhejiang Hospital

    Hangzhou, Zhejiang

    Key Differentiators

    • Neurology

Original Source(s)

Correction: 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

  • July 15, 2026

Related Content

Dynamic frailty and depressive symptoms in relation to incident stroke: findings from five harmonized longitudinal cohorts

Editorial: AI-driven smart sensing and processing for personalized healthcare

Temporal neural coupling: reconciling the Bobath concept with task-oriented training for post-stroke upper limb recovery—a perspective