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Assessing the Effect of Quantitative and Qualitative Predictors on Gastric Cancer Individuals Survival Using Hierarchical Artificial Neural Network Models
Survival Life Expectancy Proportional Hazards Model Neural Networks
2015/9/29
Background: There are numerous unanswered questions in the application of artificial neural network models for analysis of survival data. In most studies, independent variables have been studied as qu...
Vitamin A, retinol, and carotenoids and the risk of gastric cancer: a prospective cohort study1,2,3
Carotenoids gastric cancer prospective cohort studies retinol vitamin A
2008/12/9
Background: Vitamin A may influence gastric carcinogenesis through its essential role in controlling cell proliferation and differentiation. However, epidemiologic studies of vitamin A, retinol (prefo...