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

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Clinical Scorecard: Correction: Prospective Cohort Study on a Machine Learning Model for Predicting Cognitive Frailty in Elderly Ischaemic Stroke Patients

At a Glance

CategoryDetail
ConditionCognitive Frailty in Elderly Ischaemic Stroke Patients
Key MechanismsMachine learning-based prediction model
Target PopulationElderly patients with ischaemic stroke
Care SettingNeurology

Key Highlights

  • Correction of authorship for equal contributing first authors
  • Focus on cognitive frailty prediction
  • Utilization of machine learning techniques
  • Prospective cohort study design
  • Published in Frontiers in Neurology

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Elderly ischaemic stroke patients

          Not specified in the correction

          Clinical Best Practices

            Related Resources & Content

            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

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