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Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation

Journal of Intelligent Manufacturing · Nisan 2009

Özet
In this study, chronic intestine illness symptoms such as sedimentation and prostate specific antigen are used for the design of fuzzy expert system to determine the drug (salazopyrine) dose. Suitable drug dose for patients is obtained by using data of ten patients. The results of some patients are compared with the doses recommended to them by the physician. As a result, it has been seen that proposed system is helped to shorten the treatment duration and minimize or remove the negative effects of determination of drug dose for helping physicians. © 2008 Springer Science+Business Media, LLC.
15 atıf Nisan 2009 DOI
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YÖKSİS Kayıtları
Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation
Journal of Intelligent Manufacturing · 2009 SCI-Expanded
Prof. Dr. İSMAİL SARITAŞ →
Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation
Journal of Intelligent Manufacturing · 2009 SCI-Expanded
Doç. Dr. İLKER ALİ ÖZKAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Bu dergide (ISSN eşleşmesi) kurumun 5 kaydı bulundu.
Intelligent design of induction motors by multiobjective fuzzy genetic algorithm
2010 ISSN: 0956-5515 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Parallel inference in dynamic decision support systems of a semiotic type
2004 ISSN: 0956-5515 SCI-Expanded
Doç. Dr. KEMAL TÜTÜNCÜ →
Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation
2009 ISSN: 0956-5515 SCI-Expanded Q1
Prof. Dr. İSMAİL SARITAŞ →
Determination of the drug dose by fuzzy expert system in treatment of chronic intestine inflammation
2009 ISSN: 0956-5515 SCI-Expanded
Doç. Dr. İLKER ALİ ÖZKAN →
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review
2023 ISSN: 0956-5515 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →

Makale Bilgileri

Toplam Atıf 15 atıf · Scopus
ISSN09565515
Yayın TarihiNisan 2009
Cilt / Sayfa20 · 169-176

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey

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Bu makaleye, sistemimizdeki Scopus veritabanında bulunan 0 makale atıf yapmıştır. Scopus genel atıf sayısı: 15.

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Scimago Dergi (ISSN Eşleşmesi)
Journal of Intelligent Manufacturing
Q1
SJR Skoru1,888
H-Index124
YayıncıSpringer Netherlands
ÜlkeNetherlands
Artificial Intelligence (Q1)
Industrial and Manufacturing Engineering (Q1)
Software (Q1)
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Metrikler

15
Atıf

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