Machine Learning Methods in Medicine Diagnostics Problems

Abstract

Medical service improvement has always been a life topical problem. To decide it, we must continuously raise the competency of doctors and develop new methods and approaches which could help take decisions concerning diagnostics (classification of patient health conditions such as: Naive Bayes Classifier, Linear Classifier, Support-vector machine, K-nearest Neighbor Classifier, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Ada Boost Classifier and Artificial Neural Network. A radial basis network was chosen from the variety of artificial neural system architectures to solve classification tasks.