Scopus
Using reduced rule base with Expert System for the diagnosis of disease in hypertension
Medical and Biological Engineering and Computing · Aralık 2013
Makale Bilgileri
DergiMedical and Biological Engineering and Computing
Yayın TarihiAralık 2013
Cilt / Sayfa51 · 1287-1293
Scopus ID2-s2.0-84896702786
Özet
Hypertension, also called the "Silent Killer", is a dangerous and widespread disease that seriously threatens the health of individuals and communities worldwide, often leading to fatal outcomes such as heart attack, stroke, and renal failure. It affects approximately one billion people worldwide with increasing incidence. In Turkey, over 15 million people have hypertension. In this study, a new Medical Expert System (MES) procedure with reduced rule base was developed to determine hypertension. The aim was to determine the disease by taking all symptoms of hypertension into account in the Medical Expert System (7 symptoms, 27 = 128 different conditions). In this new MES procedure, instead of checking all the symptoms, the reduced rule bases were used. In order to get the reduced rule bases, the method of two-level simplification of Boolean functions was used. Through the use of this method, instead of assessing 27 = 128 individual conditions by taking 7 symptoms of hypertension into account, reduced cases were evaluated. The average rate of success was 97.6 % with the new MES procedure. © 2013 International Federation for Medical and Biological Engineering.
Yazarlar (2)
1
Fatih Başçiftçi
2
Ayşe Eldem
Anahtar Kelimeler
Boolean function minimization
Hypertension
Medical Expert System
Reduced rule base
Risk factors for hypertension
Kurumlar
Karamanoğlu Mehmetbey Üniversitesi
Karaman Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
20
Atıf
2
Yazar
5
Anahtar Kelime