Araştırma Makalesi

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

Cilt: 1 Sayı: 1 7 Nisan 2015
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DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS

Öz

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.

Anahtar Kelimeler

Kaynakça

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  5. Azimli, M., Data Mining Applications in Medicine, Master Thesis, Gazi University, Ankara,. p.63, 2011.
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  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.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

7 Nisan 2015

Gönderilme Tarihi

26 Mart 2015

Kabul Tarihi

2 Nisan 2015

Yayımlandığı Sayı

Yıl 2015 Cilt: 1 Sayı: 1

Kaynak Göster

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. MJST. 2015;1(1):18-23. doi:10.22531/muglajsci.209994
Chicago
Tarımer, İlhan, ve 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 (01 Nisan 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 ve F. Elmas, “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”, MJST, c. 1, sy 1, ss. 18–23, Nis. 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 (01 Nisan 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. MJST. 2015;1:18–23.
MLA
Tarımer, İlhan, ve Fatih Elmas. “DETERMINATION OF HEART ATTACK RISK ON PATIENTS DATA by DATA MINING APPLICATIONS”. Mugla Journal of Science and Technology, c. 1, sy 1, Nisan 2015, ss. 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. MJST. 01 Nisan 2015;1(1):18-23. doi:10.22531/muglajsci.209994

Cited By

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Mugla Journal of Science and Technology (MJST) dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.