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A neuro-fuzzy approach to diagnosis of neonatal jaundice
, Article 2006 1st Bio-Inspired Models of Network, Information and Computing Systems, BIONETICS, Madonna di Campiglio, 11 December 2006 through 13 December 2006 ; 2006 ; 1424404630 (ISBN); 9781424404636 (ISBN) ; Makki, B ; Sadati, N ; Kermani, K. K ; Riazati, A ; Sharif University of Technology
2006
Abstract
This paper presents an approach that integrates clinical methods with Neuro-Fuzzy system in order to diagnose Neonatal Jaundice in newborns. First, a fuzzy logic system designed with medical rules to model the uncertainty that exists in medical diagnosis. Then a fuzzy neural network with an evolutionary learning helps the system to learn the new data gained from the patient and to help the fuzzy system to update itself in an online manner. By combining the aforementioned systems, the proposed approach can help physicians to diagnose jaundice with low risk cost associated with this disease. © 2006 IEEE