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DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS
Abstract
In this study, it has been investigated that feasibility of data mining which is used to extract meaningful knowledge in order to effect to decision making processes in health field. As an example to a case study, it has been tried to obtain that determining the factors which trigger heart attacks by defining common changes in blood values of patients whom have got heart attacks previously. Success of the analysis done has been measured by testing the obtained results on a group of patients. In the study, Apriori and GRI algorithms stemming from association rule algorithms have been used; success of rule sets created by these algorithms has been investigated by making several comparisons. As the result, several patterns meant to pre-signals determining heart attacks from data of the patient group which have the blood values have been put forth.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
April 7, 2015
Submission Date
March 26, 2015
Acceptance Date
April 2, 2015
Published in Issue
Year 2015 Volume: 1 Number: 1
APA
Tarımer, İ., & Elmas, F. (2015). DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS. Mugla Journal of Science and Technology, 1(1), 18-23. https://doi.org/10.22531/muglajsci.209994
AMA
1.Tarımer İ, Elmas F. DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS. Mugla Journal of Science and Technology. 2015;1(1):18-23. doi:10.22531/muglajsci.209994
Chicago
Tarımer, İlhan, and Fatih Elmas. 2015. “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”. Mugla Journal of Science and Technology 1 (1): 18-23. https://doi.org/10.22531/muglajsci.209994.
EndNote
Tarımer İ, Elmas F (April 1, 2015) DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS. Mugla Journal of Science and Technology 1 1 18–23.
IEEE
[1]İ. Tarımer and F. Elmas, “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”, Mugla Journal of Science and Technology, vol. 1, no. 1, pp. 18–23, Apr. 2015, doi: 10.22531/muglajsci.209994.
ISNAD
Tarımer, İlhan - Elmas, Fatih. “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”. Mugla Journal of Science and Technology 1/1 (April 1, 2015): 18-23. https://doi.org/10.22531/muglajsci.209994.
JAMA
1.Tarımer İ, Elmas F. DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS. Mugla Journal of Science and Technology. 2015;1:18–23.
MLA
Tarımer, İlhan, and Fatih Elmas. “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”. Mugla Journal of Science and Technology, vol. 1, no. 1, Apr. 2015, pp. 18-23, doi:10.22531/muglajsci.209994.
Vancouver
1.İlhan Tarımer, Fatih Elmas. DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS. Mugla Journal of Science and Technology. 2015 Apr. 1;1(1):18-23. doi:10.22531/muglajsci.209994
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