Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units

Background: Lactic acidosis is a heterogeneous condition with multiple underlying causes and associated outcomes. The use of multi-dimensional patient data to subtype lactic acidosis can personalize patient care. Machine learning consensus clustering may identify lactic acidosis subgroups with uniqu...

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Auteurs principaux:	Pattharawin Pattharanitima, Charat Thongprayoon, Tananchai Petnak, Narat Srivali, Guido Gembillo, Wisit Kaewput, Supavit Chesdachai, Saraschandra Vallabhajosyula, Oisin A. O’Corragain, Michael A. Mao, Vesna D. Garovic, Fawad Qureshi, John J. Dillon, Wisit Cheungpasitporn
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	lactic acid lactic acidosis lactate hyperlactatemia clustering intensive care unit Medicine R
Accès en ligne:	https://doaj.org/article/86c29d5838dd4925a72d8a5eabca7a70
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Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units

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