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[42162] Artykuł:

Computational intelligence in medical decision support – a comparison of two neuro-fuzzy systems

Czasopismo: Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE 99), Bled, Słowenia   Strony: 408-413
Opublikowano: 1999
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału		 Liczba
punktów
Marian Bolesław Gorzałczany orcid logoWEAiIKatedra Elektroniki i Systemów Inteligentnych *****50.00  
Piotr Grądzki50.00  

Grupa MNiSW:  Recenzowany referat w materiałach konferencyjnych w języku angielskim
Punkty MNiSW: 0


Abstract:

One of two aims of this paper is to briefly present two different types of neuro-fuzzy systems (neuro-fuzzy classifiers for the purposes of decision support, especially in medical domains) representing two main directions of synthesizing artificial neural networks and fuzzy logic within one, hybrid, neuro-fuzzy system. The second aim of this paper is to perform a comparative analysis of both proposed neuro-fuzzy systems and three other methodologies (rough-set inspired classifier, Quinlan's rule model and rule induction system CN2) applied to the common data set coming from the field of veterinary medicine and describing different aspects of selecting surgical and nonsurgical cases in the domain of equine colic. Three independent but cooperating subsystems predicting surgical or nonsurgical types of lesions as well as final outcomes of treatment have been designed and tested with the use of particular approaches.


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