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

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

Abstract Background This study aimed to develop prognostic models for predicting 28- and 90-day mortality rates of hepatitis B virus (HBV)-associated acute-on-chronic liver failure (HBV-ACLF) through artificial neural network (ANN) systems. Methods Six hundred and eight-four cases of consecutive HBV...

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Bibliographic Details
Main Authors: Yixin Hou, Qianqian Zhang, Fangyuan Gao, Dewen Mao, Jun Li, Zuojiong Gong, Xinla Luo, Guoliang Chen, Yong Li, Zhiyun Yang, Kewei Sun, Xianbo Wang
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Gastroenterology
Subjects:
Hepatitis B virus
Acute-on-chronic liver failure
Short-term
Mortality
Prognosis
Artificial neural network
Online Access:http://link.springer.com/article/10.1186/s12876-020-01191-5

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