Tokyo, June 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000061599) titled 'Development of an AI Model to Predict Functional Recovery after Stroke Rehabilitation' on May 31.

Study Type: Observational

Primary Sponsor: Institute - Hokkaido University of Science

Condition: Condition - stroke Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - To develop a Random Forest model predicting discharge FIM scores in stroke patients in convalescent rehabilitation wards, incorporating aging-related variables, and to evaluate its predictive accuracy and clinical interpretability using SHAP analysis. Basic objectives2 - Efficacy

Eligibility: Age-lower limit - Not applicable Age-upper limit - Not applicable Gender - Male and Female Key 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 Key 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 Target Size - 300

Recruitment Status: Recruitment status - No longer recruiting Date of protocol fixation - 2022 Year 03 Month 07 Day Date of IRB - 2022 Year 03 Month 07 Day Anticipated trial start date - 2022 Year 03 Month 07 Day Last follow-up date - 2026 Year 04 Month 30 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000070479

Disclaimer: Curated by HT Syndication.