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Classification is a supervised machine learning procedure in which the effective model is constructed for prediction. The accuracy of classification mainly depends on the type of features and the characteristics of the dataset. Feature selection is an efficient approach in searching the most descriptive features which would contribute to the increase in the(More)
Background: Heavy metal pollution in farm soils is a grave concern in Taiwan. Previously, we found the incidence of oral cancer (OC) correlated positively with levels of nickel and arsenic in farm soils. Many OC patients have a second malignancy, among which esophageal cancer (EC) is the most common one in Taiwan. Objectives: We aimed to investigate whether(More)