1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

A Neuro-Fuzzy approach to diagnosis of neonatal jaundice

  • @INPROCEEDINGS{10.1145/1315843.1315863,
        author={Mohammad  Sohani and Kamran Khosrovian  Kermani and Behrooz  Makki and Ali  Riazati and Nasser  Sadati},
        title={A Neuro-Fuzzy approach to diagnosis of neonatal jaundice},
        proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
        publisher={ACM},
        proceedings_a={BIONETICS},
        year={2006},
        month={12},
        keywords={Evolutionary Fuzzy Neural Network Diagnosis System Neonatal Jaundice.},
        doi={10.1145/1315843.1315863}
    }
    
  • Mohammad Sohani
    Kamran Khosrovian Kermani
    Behrooz Makki
    Ali Riazati
    Nasser Sadati
    Year: 2006
    A Neuro-Fuzzy approach to diagnosis of neonatal jaundice
    BIONETICS
    ACM
    DOI: 10.1145/1315843.1315863
Mohammad Sohani1,*, Kamran Khosrovian Kermani2,*, Behrooz Makki3,*, Ali Riazati3,*, Nasser Sadati4,5,*
  • 1: Student Member, IEEE, Electrical Engineering Department, Sharif University of Technology, Tehran, Iran
  • 2: Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
  • 3: Biomedical Engineering Department Amirkabir, University of Technology, Tehran, Iran
  • 4: Member, IEEE, Electrical Engineering Department, Sharif University of Technology
  • 5: Tehran, Iran
*Contact email: Sohani@ieee.org, Kamran_kh6@yahoo.com, Behrooz_Makki@yahoo.com, Alijilli@yahoo.com, Sadati@sharif.edu

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.