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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 Online: 2019-10-01

Published Print: 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 https://orcid.org/0000-0001-6536-3222
Funding

Funding for this research was provided by:

Capital Medical Development Research Fund China (2009-1014)

National Natural Science Foundation of China (81372043)

Beijing Natural Science Foundation (7162199)

Natural Science Foundation of Henan Province (182300410369)

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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