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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Vydané v:	Diagnostics (Basel) Ročník 11; číslo 11; s. 2119
Hlavní autori:	Thongprayoon, Charat, Sy-Go, Janina Paula T., Nissaisorakarn, Voravech, Dumancas, Carissa Y., Keddis, Mira T., Kattah, Andrea G., Pattharanitima, Pattharawin, Vallabhajosyula, Saraschandra, Mao, Michael A., Qureshi, Fawad, Garovic, Vesna D., Dillon, John J., Erickson, Stephen B., Cheungpasitporn, Wisit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 15.11.2021 MDPI
Predmet:	Age Algorithms Artificial intelligence Cardiovascular disease Clinical outcomes Cluster analysis clustering Comorbidity consensus clustering Diabetes dysmagnesemia electrolytes Hospitalization Hospitals Hypertension hypomagnesemia Laboratories Machine learning Mortality Patients Signal transduction Variables United States > US
ISSN:	2075-4418, 2075-4418
On-line prístup:	Získať plný text
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