Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models

This study proposes an ANN model for predicting gastric cancer survivability, considering the censored data. Five separate single time-point ANN models were developed to predict the outcome of patients after 1, 2, 3, 4, and 5 years. The performance of ANN model in predicting the probabilities of death is consistently high for all time points according to the accuracy and the area under the receiver operating characteristic curve.

Source: Cancer Informatics - February 15, 2017 Category: Cancer & Oncology Authors: Hamid. Nilsaz-Dezfouli Mohd Rizam. Abu-Bakar Jayanthi. Arasan Mohd Bakri. Adam Mohamad Amin. Pourhoseingholi Source Type: research