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Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis

Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting 30-day mortality in non-cholestatic cirrhosis. Methods: A total of 932 cirrhotic patients were included from the First Affiliated Hospital of Soochow University between 2014 and 2020. Participants were divide...

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Detalles Bibliográficos
Autores principales:	Yu, Chenyan, Li, Yao, Yin, Minyue, Gao, Jingwen, Xi, Liting, Lin, Jiaxi, Liu, Lu, Zhang, Huixian, Wu, Airong, Xu, Chunfang, Liu, Xiaolin, Wang, Yue, Zhu, Jinzhou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693570/ https://www.ncbi.nlm.nih.gov/pubmed/36422105 http://dx.doi.org/10.3390/jpm12111930

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