Open AccessDevelopment and Validation of Artificial Neural Networks for Survival Prediction Model for Patients with Spontaneous Hepatocellular Carcinoma Rupture After Transcatheter Arterial Embolization
Author(s) -
Yiwen Qiu,
Tao Wang,
Xianwei Yang,
Shu Shen,
Yi Yang,
Wentao Wang
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
ISSN - 1179-1322
DOI - 10.2147/cmar.s328307
Subject(s) - hepatocellular carcinoma , arterial embolization , artificial neural network , embolization , medicine , radiology , cardiology , artificial intelligence , computer science
Spontaneous rupture bleeding is a fatal hepatocellular carcinoma (HCC) complication and a significant determinant of survival outcomes. This study aimed to develop and validate a novel artificial neural network (ANN)-based survival prediction model for patients with spontaneous HCC rupture after transcatheter arterial embolization (TAE).