alexa Abstract | Heart Disease Diagnosis Using Data Mining Techniques
ISSN: 2162-6359

International Journal of Economics & Management Sciences
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


In recent decades, heart disease has been identified as the leading cause of death across the world. However, it is considered as the most preventable and controllable disease at the same time. According to World Health Organization (WHO), the early and timely diagnosis of heart disease plays a remarkable role in preventing its progress and reducing related treatment costs. Considering the ever-increasing growth of heart disease-induced fatalities, researchers have adopted different data mining techniques to diagnose it. According to results, application of the same data mining techniques leads to different results in different datasets. This study tries to assist healthcare specialists to early diagnose heart disease and assess related risk factors. To this end, the main heart disease diagnosis indices were identified using experts’ opinions. Then, data mining techniques were applied on a heartrelated dataset. Finally, the main heart disease diagnosis indices were identified and a model was developed based on extracted rules. Visual Studio was used to write the algorithm code.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Ramin Assari, Parham Azimi and Mohammad Reza Taghva


Bayesian network, Data mining, Decision tree, Heart disease, K-nearest neighbor, Support vector machines, Economic Capital, Financial Economics, Hospitality Management, Industrial and Management Optimization, Innovation Policy and the Economy, Socio-Economic Planning Sciences, Economic indicator, Total Quality Management (TQM), Value based Management, Entrepreneurial Development, Management in Education, Classical Economics, Monetary Neutrality, Econometrics, New Economy, Welfare Economics, Development Economics, Economic Transparency, Globalisation, Game theory

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version