Research Article

DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS

Volume: 1 Number: 1 April 7, 2015
EN TR

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

  1. Şentürk, Z.K., The Diagnosis of Cancer with Data Mining, Master Thesis, Düzce University, Düzce, p.58, 2011.
  2. Çakır, F., Akgöbek, Ö, Designing An Expert System in Data Mining, Academic Information 2009 Conference, Harran University, Şanlıurfa, Proceedings Book, p.801–806, 2009.
  3. Savaş, S. Topaloğlu, N. ve Yılmaz, M., Data Mining and Practices in Turkey, İstanbul Commerce University, Journal of Natural and Applied Sciences, Year:11, No: 21, p. 1-23, 2012
  4. Han, J. ve Kamber, M., Data Mining Concepts and Techniques, Morgan Kauffmann Publishers Inc., 1-35., 2006.
  5. Azimli, M., Data Mining Applications in Medicine, Master Thesis, Gazi University, Ankara,. p.63, 2011.
  6. Obenshain, K., Application of data mining techniques to healthcare data, Data Infect Control Hosp Epidemiol, 25: 690-695, 2004.
  7. Koyuncugil, A.S. ve Özgülbaş, N. (2009) Data Mining: Use and Applications in Medicine and Health Services, Journal of Information Technologies, Vol.2, No:2, p.21-32, 2009.
  8. Güleç, S., Global Risk of Cardiovascular Disease and Objectives, Turkish Society of Cardiology, Volume:37, No:2, p.1–10, 2009.

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

Cited By

8805

Mugla Journal of Science and Technology (MJST) is licensed under the Creative Commons Attribution-Noncommercial-Pseudonymity License 4.0 international license