Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach

Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

17 Citations (Scopus)

Abstract

The heart is one of the strongest muscular organs in the human body. Every year, this disease can kill many people in the world. Coronary artery disease (CAD) is named as the most common type of heart disease. Four well-known decision trees (DTs) are applied on the Z-Alizadeh Sani CAD dataset, which consists of J48, BF tree, REP tree, and NB tree. A multi filtering approach, named MFA, was used to modify the weight of attributes to improve the performance of DTs in this study. The model was applied on three main coronary arteries including the Left Anterior Descending (LAD), Left Circumflex (LCX), and Right Coronary Artery (RCA). The obtained results show that data balancing has a valuable impact on the performance of DTs. The comparison results show that this study provides the best results applied on the Z-Alizadeh Sani dataset compared to previous studies. The proposed MFA could improve the performance of the classic DTs algorithms significantly, with the highest accuracies obtained by NB tree for LAD, LCX, and RCA are 94.90%, 92.97% and 93.43%, respectively.

Original languageEnglish
Title of host publication2019 IEEE 4th International Conference on Computer and Communication Systems, ICCCS 2019
EditorsYang Xiao, Nobuo Funabiki
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages26-30
Number of pages5
ISBN (Electronic)9781728113227
ISBN (Print)9781728113234
DOIs
Publication statusPublished - Feb 2019
Externally publishedYes
Event4th IEEE International Conference on Computer and Communication Systems, ICCCS 2019 - Singapore, Singapore
Duration: 23 Feb 201925 Feb 2019

Publication series

Name2019 IEEE 4th International Conference on Computer and Communication Systems, ICCCS 2019

Conference

Conference4th IEEE International Conference on Computer and Communication Systems, ICCCS 2019
Country/TerritorySingapore
CitySingapore
Period23/02/1925/02/19

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