Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients

Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients

Abstract Background Liver cirrhosis patients are at risk for esophagogastric variceal bleeding (EGVB). Herein, we aimed to estimate the EGVB risk in patients with liver cirrhosis using an artificial neural network (ANN). Methods We included 999 liver cirrhosis patients hospitalized at the Beijing Di...

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Bibliographic Details
Main Authors: Yixin Hou, Hao Yu, Qun Zhang, Yuying Yang, Xiaoli Liu, Xianbo Wang, Yuyong Jiang
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Diagnostic Pathology
Subjects:
ALT
Artificial neural network
Ascites
Gastroesophageal varices
GG
Hematocrit
Online Access:https://doi.org/10.1186/s13000-023-01293-0

Internet

https://doi.org/10.1186/s13000-023-01293-0

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