Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate Derangements.

Charat ThongprayoonCarissa Y DumancasVoravech NissaisorakarnMira T KeddisAndrea G KattahPattharawin Pattharanitima Tananchai Petnak Saraschandra VallabhajosyulaVesna D GarovicMichael A MaoJohn J DillonStephen B EricksonWisit Cheungpasitporn

Published in: Journal of clinical medicine (2021)

Our cluster analysis classified clinically distinct phenotypes with different mortality risks among hospitalized patients with serum phosphate derangements. Age, comorbidities, and kidney function were the key features that differentiated the phenotypes.

Keyphrases

machine learning
cardiovascular events
artificial intelligence
risk factors
single cell
big data
coronary artery disease
clinical practice
climate change