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1 Ergebnisse
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Predicting 30-Day Readmission for Stroke Using Machine Lear..:
Yu-Ching Chen
;
Jo-Hsuan Chung
;
Yu-Jo Yeh
...
https://www.frontiersin.org/articles/10.3389/fneur.2022.875491/full. , 2022
Link:
https://doi.org/10.3389/fneur.2022.875491
RT Journal T1 <Title>Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f67c7c62504b4506a8b6d9707765455b&Exemplar=1&LAN=DE A1 Yu-Ching Chen A1 Jo-Hsuan Chung A1 Yu-Jo Yeh A1 Shi-Jer Lou A1 Hsiu-Fen Lin A1 Ching-Huang Lin A1 Hong-Hsi Hsien A1 Kuo-Wei Hung A1 Shu-Chuan Jennifer Yeh A1 Hon-Yi Shi PB Frontiers Media S.A. YR 2022 K1 30-day readmission K1 artificial neural network K1 feature importance analysis K1 post-acute care K1 stroke K1 Neurology. Diseases of the nervous system K1 RC346-429 JF https://www.frontiersin.org/articles/10.3389/fneur.2022.875491/full LK http://dx.doi.org/https://doi.org/10.3389/fneur.2022.875491 DO https://doi.org/10.3389/fneur.2022.875491 SF ELIB - SuUB Bremen
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