Machine learning in predicting gastric cancer survival Presenting a novel decision support system model.

Journal: Annali italiani di chirurgia
Published Date:

Abstract

BACKGROUND: Gastric cancer is the 4th most frequent cause of cancer-related deaths, with a 5-year survival rate of less than 40%. In recent years, many artificial intelligence applications have been used in the field of gastric cancer through their effective computing and learning ability. In this study, we aim to develop a software that can accurately detect overall survival in gastric cancer cases with the help of artificial intelligence and machine learning.

Authors

  • Ezgi Altinsoy
  • Batuhan Bakirarar
  • Serdar Culcu