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

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

Abstract 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 observ...

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Bibliographic Details
Main Authors: Xian-Fei Ding, Jin-Bo Li, Huo-Yan Liang, Zong-Yu Wang, Ting-Ting Jiao, Zhuang Liu, Liang Yi, Wei-Shuai Bian, Shu-Peng Wang, Xi Zhu, Tong-Wen Sun
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Journal of Translational Medicine
Subjects:
Acute respiratory distress syndrome
Machine learning
Predictive model
Online Access:http://link.springer.com/article/10.1186/s12967-019-2075-0

Internet

http://link.springer.com/article/10.1186/s12967-019-2075-0

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