Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer

Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer

Background: Prediction models for the overall survival of pancreatic cancer remain unsatisfactory. We aimed to explore artificial neural networks (ANNs) modeling to predict the survival of unresectable pancreatic cancer patients.Methods: Thirty-two clinical parameters were collected from 221 unresec...

Full description

Bibliographic Details
Main Authors: Zhou Tong, Yu Liu, Hongtao Ma, Jindi Zhang, Bo Lin, Xuanwen Bao, Xiaoting Xu, Changhao Gu, Yi Zheng, Lulu Liu, Weijia Fang, Shuiguang Deng, Peng Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
artificial neural network
logistic regression
unresectable pancreatic cancer
survival
prognosis
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00196/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00196/full

Similar Items