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A neuro-fuzzy approach to diagnosis of neonatal jaundice

Sohani, M ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/BIMNICS.2006.361808
  3. Publisher: 2006
  4. Abstract:
  5. 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
  6. Keywords:
  7. Computer systems ; Diagnosis ; Fuzzy inference ; Fuzzy neural networks ; Fuzzy sets ; Fuzzy systems ; Neural networks ; Bio-inspired ; Clinical methods ; Computing systems ; Diagnosis system ; Evolutionary fuzzy neural network ; Evolutionary learning ; Fuzzy Logic Systems ; Medical diagnosis ; Neonatal jaundice ; Neuro-fuzzy approaches ; Neuro-fuzzy systems ; Fuzzy logic
  8. Source: 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)
  9. URL: https://ieeexplore.ieee.org/document/4205335