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Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study

BACKGROUND: Machine learning algorithms for predicting 30-day stroke readmission are rarely discussed. The aims of this study were to identify significant predictors of 30-day readmission after stroke and to compare prediction accuracy and area under the receiver operating characteristic (AUROC) cur...

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Detalles Bibliográficos
Autores principales:	Chen, Yu-Ching, Chung, Jo-Hsuan, Yeh, Yu-Jo, Lou, Shi-Jer, Lin, Hsiu-Fen, Lin, Ching-Huang, Hsien, Hong-Hsi, Hung, Kuo-Wei, Yeh, Shu-Chuan Jennifer, Shi, Hon-Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neurology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289395/ https://www.ncbi.nlm.nih.gov/pubmed/35860493 http://dx.doi.org/10.3389/fneur.2022.875491

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