Seyoung Shin, Won Hyuk Chang, Deog Young Kim, Jongmin Lee, Min Kyun Sohn, Min-Keun Song, Yong-Il Shin, Yang-Soo Lee, Min Cheol Joo, So Young Lee, Junhee Han, Jeonghoon Ahn, Gyung-Jae Oh, Young-Taek Kim, Kwangsu Kim, Yun-Hee Kim
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...
2023: Frontiers in Neurology