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

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

ObjectivesThe 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.MethodsThis study is an interim analysis of the dataset from the Korean S...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neurology
Subjects:
stroke
functional recovery
artificial intelligence
machine learning
clustering
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1130236/full

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