Crossmark

Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure

Crossref DOI link: https://doi.org/10.1186/s12876-020-01191-5

Published Online: 2020-03-13

Published Print: 2020-12

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

Authors

Hou, Yixin

Zhang, Qianqian

Gao, Fangyuan

Mao, Dewen

Li, Jun

Gong, Zuojiong

Luo, Xinla

Chen, Guoliang

Li, Yong

Yang, Zhiyun

Sun, Kewei

Wang, Xianbo
Funding

Funding for this research was provided by:

The National Natural Science Foundation of China (81273743, 81473641)

Beijing Advanced Innovation Center for Imaging Technology (DTQL201602)

Beijing Municipal Science and Technology Commission Programme (Z181100001718052)
License Information

Text and Data Mining valid from 2020-03-13

Version of Record valid from 2020-03-13
More Information

Article History

Received: 22 October 2019

Accepted: 11 February 2020

First Online: 13 March 2020

Ethics approval and consent to participate

: The study protocol was in accordance with the ethical guidelines of the Declaration of Helsinki, and was approved by the etnics commettiees of the Beijing Ditan Hospital, First Hospital Affiliated to Hunan University of Chinese Medicine, First Affiliated Hospital of Guangxi University of Chinese Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Beijing 302 Hospital, Renmin Hospital Hospital of Wuhan University, Hubei Provincial Hospital of Traditional Chinese Medicine, and Xiamen Hospital of Traditional Chinese Medicine. As this study retrospectively reviewed the basic and clinical information of patients, consent to participate was waived.

: Not applicable.

: The authors decalare that they have no competing interests.

Document is current

Any future updates will be listed below