Characteristics and Cluster Analysis of 18,030 Sepsis Patients Who Were Admitted to Thailand’s Largest National Tertiary Referral Center during 2014–2020 to Identify Distinct Subtypes of Sepsis in Thai Population
Background. This study aimed to investigate the demographic, clinical, and laboratory characteristics of sepsis patients who were admitted to our center during 2014–2020 and to employ cluster analysis, which is a type of machine learning, to identify distinct types of sepsis in Thai population. Meth...
Saved in:
Main Authors: | Phuwanat Sakornsakolpat, Surat Tongyoo, Chairat Permpikul |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Critical Care Research and Practice |
Online Access: | http://dx.doi.org/10.1155/2024/6699274 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prevalence of neonatal sepsis and associated factors among neonates admitted in the neonatal intensive care unit at Lira Regional Referral Hospital, Northern Uganda.
by: Brendah Katugume, et al.
Published: (2025-01-01) -
The Impact of Positive Fluid Balance on Sepsis Subtypes: A Causal Inference Study
by: Sharad Patel, et al.
Published: (2023-01-01) -
Survival Status and Predictors of Mortality among Newborns Admitted with Neonatal Sepsis at Public Hospitals in Ethiopia
by: Samuel Dessu, et al.
Published: (2020-01-01) -
Sepsis in Internal Medicine: blood culture-based subtypes, hospital outcomes, and predictive biomarkers
by: Gaetano Zizzo, et al.
Published: (2025-01-01) -
Sepsis subphenotypes: bridging the gaps in sepsis treatment strategies
by: Xue Zhang, et al.
Published: (2025-02-01)