Clustering and prediction of long-term functional recovery patterns in first-time stroke patients.

ABSTRACT:

Objectives

The purpose of this study was to cluster long-term multifaceted functional recovery patterns and to establish prediction models for functional outcome in first-time stroke patients using unsupervised machine learning.

Methods

This study is an interim analysis of the dataset from the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO), a long-term, prospective, multicenter cohort study of first-time stroke patients. The KOSCO screened 10,636 first-time stroke patients admitted to nine representative hospitals in Korea during a three-year recruitment period, and 7,858 patients agreed to enroll. Early clinical and demographic features of stroke patients and six multifaceted functional assessment scores measured from 7 days to 24 months after stroke onset

SUBMITTER: Shin S 

PROVIDER: S-EPMC10031095 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature