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...

Full description

Saved in:

Bibliographic Details
Published in:	Diagnostics (Basel) Vol. 11; no. 11; p. 2119
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 15.11.2021 MDPI
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!