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

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-ACLF p...

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Detalles Bibliográficos
Autores principales: Hou, Yixin, Zhang, Qianqian, Gao, Fangyuan, Mao, Dewen, Li, Jun, Gong, Zuojiong, Luo, Xinla, Chen, Guoliang, Li, Yong, Yang, Zhiyun, Sun, Kewei, Wang, Xianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081680/
https://www.ncbi.nlm.nih.gov/pubmed/32188419
http://dx.doi.org/10.1186/s12876-020-01191-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081680/
https://www.ncbi.nlm.nih.gov/pubmed/32188419
http://dx.doi.org/10.1186/s12876-020-01191-5

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