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

PURPOSE: 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 stud...

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Detalles Bibliográficos
Autores principales: Yoon, Jaechul, Kym, Dohern, Hur, Jun, Cho, Yong-Suk, Chun, Wook, Yoon, Dogeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Surgical Society 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929432/
https://www.ncbi.nlm.nih.gov/pubmed/36816736
http://dx.doi.org/10.4174/astr.2023.104.2.126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929432/
https://www.ncbi.nlm.nih.gov/pubmed/36816736
http://dx.doi.org/10.4174/astr.2023.104.2.126

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