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Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study

BACKGROUND: To develop a machine learning model for predicting acute respiratory distress syndrome (ARDS) events through commonly available parameters, including baseline characteristics and clinical and laboratory parameters. METHODS: A secondary analysis of a multi-centre prospective observational...

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Detalles Bibliográficos
Autores principales:	Ding, Xian-Fei, Li, Jin-Bo, Liang, Huo-Yan, Wang, Zong-Yu, Jiao, Ting-Ting, Liu, Zhuang, Yi, Liang, Bian, Wei-Shuai, Wang, Shu-Peng, Zhu, Xi, Sun, Tong-Wen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771100/ https://www.ncbi.nlm.nih.gov/pubmed/31570096 http://dx.doi.org/10.1186/s12967-019-2075-0

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