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

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 Kor...

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Detalles Bibliográficos
Autores principales: Shin, Seyoung, Chang, Won Hyuk, Kim, Deog Young, Lee, Jongmin, Sohn, Min Kyun, Song, Min-Keun, Shin, Yong-Il, Lee, Yang-Soo, Joo, Min Cheol, Lee, So Young, Han, Junhee, Ahn, Jeonghoon, Oh, Gyung-Jae, Kim, Young-Taek, Kim, Kwangsu, Kim, Yun-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031095/
https://www.ncbi.nlm.nih.gov/pubmed/36970541
http://dx.doi.org/10.3389/fneur.2023.1130236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031095/
https://www.ncbi.nlm.nih.gov/pubmed/36970541
http://dx.doi.org/10.3389/fneur.2023.1130236

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