cqu_5840+ATTACHMENT03+ATTACHMENT03.4.pdf (581.42 kB)
Download file

Diagnosis heart disease using an association rule discovery approach

Download (581.42 kB)
conference contribution
posted on 06.12.2017, 00:00 by Jesmin Nahar, A B M Shawkat AliA B M Shawkat Ali, Kevin TickleKevin Tickle, YP Chen
Around the world heart disease is the number one killer of humans. The most common cause of heart disease is narrowing or blockage of the coronary arteries, the blood vessels that supply blood to the heart itself. Heart problems occur as a result of genetic heredity or daily life style factors. This research involves an investigation of association rules predicting healthy and sick heart status using heart disease data. This research is significant in that useful rules are identified that enable the prediction of healthy/unhealthy heart status from real life factors.

History

Start Page

75

End Page

79

Number of Pages

5

Start Date

01/01/2009

Location

Honolulu, Hawaii, USA.

Publisher

ACTA Press

Place of Publication

USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Faculty of Science and Technology; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

Yes

Name of Conference

International Association for Science and Technology for Development. International Conference on Computational Intelligence

Usage metrics

Exports