Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering

Subtyping Hyperchloremia among Hospitalized Patients by Machine Learning Consensus Clustering

<i>Background and Objectives</i>: Despite the association between hyperchloremia and adverse outcomes, mortality risks among patients with hyperchloremia have not consistently been observed among all studies with different patient populations with hyperchloremia. The objective of this st...

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Bibliographic Details
Main Authors: Charat Thongprayoon, Voravech Nissaisorakarn, Pattharawin Pattharanitima, Michael A. Mao, Andrea G. Kattah, Mira T. Keddis, Carissa Y. Dumancas, Saraschandra Vallabhajosyula, Tananchai Petnak, Stephen B. Erickson, John J. Dillon, Vesna D. Garovic, Kianoush B. Kashani, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Medicina
Subjects:
hyperchloremia
chloride
artificial intelligence
clustering
mortality
machine learning
Online Access:https://www.mdpi.com/1648-9144/57/9/903

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