Is There Any Advantage of Machine Learning to Multivariate Regression Analysis for Predicting Disease-Related Deaths in Patients with Gastric Cancer? Reevaluation of Retrospective Data

Umut Kaya

OBJECTIVE The problem in gastric cancer patients is multifactorial and it is not possible to use one factor alone to predict disease survival. Machine learning (ML) algorithms have become popular in the medical field, recently. We aimed to evaluate the power of ML algorithms for predicting deaths due to gastric cancer. METHODS We reevaluated the retrospective data published. Seven different ML algorithms (logistic regression [LR], artificial neural networks/multilayer perceptron, gradient boosted trees, support vector machine, random forest, naive Bayes, and probabilistic neural network) tried ...Daha fazlası