An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.

Journal: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract

Published Date: Aug 3, 2017

Abstract

OBJECTIVE: This study aims to evaluate the development of an artificial neural network (ANN) method for predicting the survival likelihood of pancreatic adenocarcinoma patients. The ANN predictive model should produce results with a 90% sensitivity.

Authors

Steven Walczak

School of Information and Florida Center for Cybersecurity, University of South Florida, 4202 E. Fowler Ave., CIS 1040, Tampa, FL, 33620, USA. swalczak@usf.edu.
Vic Velanovich

Division of General Surgery, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.

Keywords

Adenocarcinoma Adult Aged Aged, 80 and over Female Humans Likelihood Functions Male Middle Aged Neural Networks, Computer Pancreatic Neoplasms Prospective Studies Sensitivity and Specificity Survival Rate Young Adult

External Resources

View on PubMed Access via DOI PubMed (28776157)

An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals