Longitudinal profile of routine biomarkers for mortality prediction using unsupervised clustering algorithm in severely burned patients: a retrospective cohort study with prospectively collected data

Burn injury has high clinical heterogeneity and worse prognosis in severely burned patients. Clustering algorithms using unsupervised methods to identify groups with similar trajectories in heterogeneous disease patients can provide insight into mechanisms of disease pathogenesis. This study analyze...

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Bibliographic Details

Published in:	Annals of surgical treatment and research Vol. 104; no. 2; pp. 126 - 135
Main Authors:	Yoon, Jaechul, Kym, Dohern, Hur, Jun, Cho, Yong-Suk, Chun, Wook, Yoon, Dogeon
Format:	Journal Article
Language:	English
Published:	Korea (South) 대한외과학회 01-02-2023 The Korean Surgical Society
Subjects:	Original 일반외과학 Cluster analysis Biomarkers Longitudinal studies Burns Mortality
Online Access:	Get full text
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