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Classification of Prostate Cancer and Determination of Related Factors with Different Artificial Neural Network
2020
MIDDLE BLACK SEA JOURNAL OF HEALTH SCIENCE
Objective: In this study, it is aimed to classify prostate cancer, compare the predictions of these two models and determine the factors associated with the disease by applying Multilayer Perceptron Neural Network (MLPNN) and Radial-Based Function Neural Network (RBFNN) methods on the open access Prostate cancer dataset. Methods: In this study, the dataset named "Prostate Cancer Data Set" was used by obtaining from https://www.kaggle.com/sajidsaifi/prostate-cancer address. To classify prostate
doi:10.19127/mbsjohs.798559
fatcat:ocphhguj2jaqjhn6kpkdzyr63u