2026-06-13T13:54:57.499Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:5082 2017-07-04T11:37:37Z 1

Effective diagnosis of heart disease presence using Artificial Neural Networks 2017 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/5082 http://portal.sinteza.singidunum.ac.rs/paper/485 S. Cako A. NJeguš В. Матић Due to high complexity of decision making in medicine, it has been proven that usage of Neural Networks is in the cope with the aforementioned problem. Regarding the variety of the symptoms, one of the biggest challenge is heart disease. This research has shown that, depending on the symptoms, Multilayer Perceptron Classifier can effectively decide whether the patient is suffering from heart disease or not. Main goal of this paper is to determine the proper parameters setting for the Multilayer Perceptron algorithm in order to predict heart disease with higher accuracy. However, in order to compare the obtained results using MLP, the experiment is also done using kNN, and LDA algorithms. The results confirm that recognition rate of 96.67%, when using MLP, outperforms other methods when processing heart disease data. conferenceObject 3 8 https://doi.org/10.15308/Sinteza-2017-3-8 Proceedings of International Scientific Conference on Information Technology and Data Related Research "Sinteza 2017"