2026-05-28T18:48:49.237Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:3226 2016-01-29T20:28:17Z 1

Naïve Bayes and Wrapper Method in Medical Diagnostic Process 2015 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/3226 J. Novaković A. Veljović A. NJeguš In this article is evaluated classification accuracy of Naïve Bayes and wrapper method in medical data sets. Machine learning methods can be employed to improve diagnostic process in everyday routine and avoid misdiagnosis. Diagnosis of cancer, heart diseases, hepatitis, liver and Parkinson diseases are some of the medical problems in which we used Naïve Bayes. The main objective of this article is to show that it is possible to improve the performance of the system for inductive learning rules with Naïve Bayes for medical classification problems, using the wrapper method for dimensionality reduction. Also, the goal of this research is to present and compare different algorithmic approaches for constructing and evaluating systems that learn from experience to make the decisions and predictions and minimize the expected number or proportion of mistakes. conferenceObject Proceedings of International ScientificConference "UNITECH 2015" Gabrovo