Cargando…
Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis
BACKGROUND: Sepsis is a life-threatening condition caused by an abnormal response of the body to infection and imposes a significant health and economic burden worldwide due to its high mortality rate. Early recognition of sepsis is crucial for effective treatment. This study aimed to systematically...
Autores principales: | Yang, Zhenyu, Cui, Xiaoju, Song, Zhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523763/ https://www.ncbi.nlm.nih.gov/pubmed/37759175 http://dx.doi.org/10.1186/s12879-023-08614-0 |
Ejemplares similares
-
Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review
por: Moor, Michael, et al.
Publicado: (2021) -
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
por: Wang, Dong, et al.
Publicado: (2021) -
Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU
por: Kong, Guilan, et al.
Publicado: (2020) -
Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients
por: Alanazi, Abdullah, et al.
Publicado: (2023) -
Evaluating machine learning models for sepsis prediction: A systematic review of methodologies
por: Deng, Hong-Fei, et al.
Publicado: (2021)