A Study on Analysis of Cardiovascular Diseases
Yazarlar (2)
Prof. Dr. Kemal AKYOL Kastamonu Üniversitesi, Türkiye
Baha Şen
Ankara Yıldırım Beyazıt Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
Dergi Adı Journal of Fundamental and Applied Sciences
Dergi ISSN 1112-9867
Dergi Tarandığı Indeksler Electronic Journals Library
Makale Dili İngilizce Basım Tarihi 05-2018
Cilt / Sayı / Sayfa 10 / 2 / 277–292 DOI
UAK Araştırma Alanları
Görüntü İşleme
Özet
Commonly seen in adults, cardiovascular diseases are important health problems. In order to investigate the causes of the diseases which affect the heart and the blood vessels, two datasets were used. First, one of these datasets is publicly available dataset provided by the University of California, Irvine Machine Learning Repository. The effects of biochemistry and hemogram laboratory test results for the Cardiovascular Diseases were analyzed by using the second dataset which was taken from the cardiology and other services of Yildirim Beyazit University Ataturk Training and Research Hospital. ICD-10 (International Statistical Classification of Diseases and Related Health Problems) booklet was taken as a reference for the patient and control groups. The successes of the classifier algorithms indicated that working with the datasets which have only limited number of attributes is not right step.
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 34

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