Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia

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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Auteurs principaux: 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
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
artificial intelligence
clustering
consensus clustering
dysmagnesemia
electrolytes
hypomagnesemia
Medicine (General)
R5-920
Accès en ligne:https://doaj.org/article/3ab80296b4334b97afb4bc0d2561f609
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https://doaj.org/article/3ab80296b4334b97afb4bc0d2561f609

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