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

Internet

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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