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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

Crossref DOI link: https://doi.org/10.1186/S12967-019-2075-0

Published: 2019-12

Update policy: https://doi.org/10.1007/SPRINGER_CROSSMARK_POLICY

Authors

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 http://orcid.org/0000-0001-6536-3222
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81372043)

Natural Science Foundation of Beijing Municipality (7162199)

Natural Science Foundation of Henan Province (182300410369)

Capital Medical Development Research Fund China (2009-1014)

Science and Technology Innovation Talents in Universities of Henan Province (16IRTSTHN021)

National Science and Technology Major Project (2018ZX10101004)
License Information

Text and Data Mining valid from 2019-10-01

Version of Record valid from 2019-10-01
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Article History

Received: 30 March 2019

Accepted: 18 September 2019

First Online: 1 October 2019

Ethics approval and consent to participate

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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