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Development of an AI Model to Predict Functional Recovery after Stroke Rehabilitation

Development of an FIM Prediction Model for Stroke Patients in Convalescent Rehabilitation Wards Considering the Impact of Aging - Aging-aware Gradient Estimation of FIM in stroke rehabilitation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000061599
Enrollment
300
Registered
2026-05-31
Start date
2022-03-07
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

stroke

Interventions

None listed

Sponsors

Hokkaido University of Science
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients admitted to the convalescent rehabilitation ward at Shin-Sapporo Neurosurgical Hospital between January 2018 and March 2020 Patients with a primary diagnosis of cerebral infarction or intracerebral hemorrhage Patients with a length of stay in the convalescent rehabilitation ward of at least one month

Exclusion criteria

Exclusion criteria: Patients with a history of neurological diseases (e.g., Parkinson's disease, multiple sclerosis) Patients with a history of psychiatric disorders (e.g., schizophrenia, bipolar disorder) Patients with a history or complication of brain tumor Patients who experienced clinical deterioration during hospitalization (e.g., stroke recurrence, pneumonia, exacerbation of heart failure) Patients with blindness Patients who developed stroke during hospitalization at another medical facility Patients with missing data

Design outcomes

Primary

MeasureTime frame
Discharge motor FIM total score

Secondary

MeasureTime frame
- Discharge total FIM score - Discharge cognitive FIM total score- Individual FIM sub-item scores- Model performance - Variable contribution via SHAP values- Age-stratified model performance

Countries

Japan

Contacts

Public Contactryo matsuda

Hokkaido University of Science department of Physical Therapy Faculty of Health Sciences

matsuda-r@hus.ac.jp0116887197

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026