Machine learning for the early prediction of acute respiratory distress syndrome (ARDS) in patients with sepsis in the ICU based on clinical data

Background: Acute respiratory distress syndrome (ARDS) is a fatal outcome of severe sepsis. Machine learning models are helpful for accurately predicting ARDS in patients with sepsis at an early stage. Objective: We aim to develop a machine-learning model for predicting ARDS in patients with sepsis...

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Autores principales:	Zhenzhen Jiang, Leping Liu, Lin Du, Shanshan Lv, Fang Liang, Yanwei Luo, Chunjiang Wang, Qin Shen
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-03-01
Colección:	Heliyon
Materias:	Acute respiratory distress syndrome ARDS Machine learning Algorithm Sepsis ICU
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2405844024041744
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