Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia

Background: The objectives of this study were to classify patients with serum magnesium derangement on hospital admission into clusters using unsupervised machine learning approach and to evaluate the mortality risks among these distinct clusters. Methods: Consensus cluster analysis was performed ba...

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Autores principales:	Charat Thongprayoon, Janina Paula T. Sy-Go, Voravech Nissaisorakarn, Carissa Y. Dumancas, Mira T. Keddis, Andrea G. Kattah, Pattharawin Pattharanitima, Saraschandra Vallabhajosyula, Michael A. Mao, Fawad Qureshi, Vesna D. Garovic, John J. Dillon, Stephen B. Erickson, Wisit Cheungpasitporn
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial intelligence clustering consensus clustering dysmagnesemia electrolytes hypomagnesemia Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/3ab80296b4334b97afb4bc0d2561f609
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Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia

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