Scopus Eşleşmesi Bulundu
22
Atıf
38
Cilt
14037-14043
Sayfa
Scopus Yazarları: Fatih Başçiftçi, Hayri İncekara
Özet
Heart and vein diseases are one of the most important health problems. The number of the people who died of heart and vein diseases is more than the number of the people who died of all other health problems and natural disasters. In order to decrease this number, the intervention must be started very earlier and people must be informed about this subject. In this study, Medical Expert System has been used all the probabilities of CHD has been determined (9 symptoms, 29 = 512 different occasions) and from these probabilities, an accuracy table has been formed. This accuracy table has been simplified with the Boolean functions simplifying methods. 94 rules have been achieved by the Boolean functions minimization method. The rules achieved have formed the Expert System's rule base. 303 patients' values have been compared with the realized Expert System. The Medical Expert System which was formed as a result of the evaluation has evaluated men with 86.5%, women with 84.5% and in general with 86.1% accuracy rate. © 2011 Elsevier Ltd. All rights reserved.
Anahtar Kelimeler (Scopus)
Coronary Heart Disease
Boolean function minimization
Expert System
Heart attack
Reduced rule base
Scimago Dergi Bilgisi
Otomatik ISSN Eşleştirmesi
2011 yılı verileri
Expert Systems with Applications
Q1
SJR Quartile
1,113
SJR Skoru
290
H-Index
Kategoriler: Artificial Intelligence (Q1) · Computer Science Applications (Q1) · Engineering (miscellaneous) (Q1)
Alanlar: Computer Science · Engineering
Ülke: United Kingdom
· Elsevier Ltd
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir.
Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.
Anahtar Kelimeler
Coronary Heart Disease
Boolean function minimization
Expert System
Heart attack
Reduced rule base
Makale Bilgileri
Dergi
Expert Systems with Applications
ISSN
09574174
Yıl
2011
/ 5. ay
Cilt / Sayı
38
Sayfalar
14037 – 14043
Makale Türü
Özgün Makale
Hakemlik
Hakemli
Endeks
SCI
Yayın Dili
İngilizce
Kapsam
Uluslararası
Toplam Yazar
2 kişi
Erişim Türü
Elektronik
Erişim Linki
Makaleye Git
Alan
Mühendislik Temel Alanı-
Bilgisayar Bilimleri ve Mühendisliği
YÖKSİS Yazar Kaydı
Yazar Adı
BAŞÇİFTÇİ FATİH, İNCEKARA HAYRİ
YÖKSİS ID
334974
Hızlı Erişim
Metrikler
Scopus Atıf
22
Yazar Sayısı
2