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Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning

Abstract Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailored treatment and prognosis. We used the MIMIC-IV database to analyze patients diagnosed with Sepsis-3 within 24 h of ICU admission. Latent class mixed models (LCMM) were applied to leukocyte...

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Principais autores: ShengHui Miao, YiJing Liu, Min Li, Jing Yan
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-04-01
Serier:Scientific Reports
Fag:
Sepsis
Clinical subtypes
Leukocyte trajectories
Machine learning
Latent class analysis
Online adgang:https://doi.org/10.1038/s41598-025-96718-9
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