Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit.

Wonsuk Oh Pushkala Jayaraman Ashwin S SawantLili ChanMatthew A LevinAlexander W CharneyPatricia KovatchBenjamin Scott GlicksbergGirish N Nadkarni

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

We utilized the sequence cluster analysis to identify clinical subphenotypes in critically ill COVID-19 patients who had distinct temporal patterns and different clinical outcomes. This study points toward the utility of including temporal information in subphenotyping approaches.

Keyphrases

coronavirus disease
sars cov
single cell
healthcare
rna seq
social media
respiratory syndrome coronavirus