A Novel Fuzzy-Neural Based Medical Diagnosis System

Authors: S. Moein, S. A. Monadjemi, P. Moallem

Abstract:

In this paper, application of artificial neural networks in typical disease diagnosis has been investigated. The real procedure of medical diagnosis which usually is employed by physicians was analyzed and converted to a machine implementable format. Then after selecting some symptoms of eight different diseases, a data set contains the information of a few hundreds cases was configured and applied to a MLP neural network. The results of the experiments and also the advantages of using a fuzzy approach were discussed as well. Outcomes suggest the role of effective symptoms selection and the advantages of data fuzzificaton on a neural networks-based automatic medical diagnosis system.

Keywords: Artificial Neural Networks, Fuzzy Logic, MedicalDiagnosis, Symptoms, Fuzzification.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084264

References:

[1] J.G. Wolff, "Medical Diagnosis as Pattern Recognition in a Framework of Information Compression by Multiple Alignment, Unification and Search", Elsevier Science, 2005.
[2] K.R. Sasikala, M. Petrou, "Fuzzy Classification with a GIS as an Aid to Decision Making", 2004.
[3] N. Salim," Medical Diagnosis Using Neural Networks", 2004.
[4] T. Zrimec and I. Kononenko, "Feasibility analysis of machine learning in medical diagnosis from aura images", University of Ljubljana, 2004.
[5] R. Fuller, Neural Fuzzy System, Abo Akademi University, 1995.
[6] S.Weigand, A.Huberman, and D.E.Rumelhart, Predicting the future: a connectionist approach, International Journal of Neural Systems, 1990.
[7] A. Pomi, F. Olivera , BMC Medical Informatics and Decision Making, Context-sensetive auto associative memories as expert systems in medical diagnosis, BioMed Central, 2006.
[8] F.Steimann, K.P.Adlassnig, "Fuzzy Medical Diagnosis", Thesis, Wien University.
[9] L A. Zadeh, Biological application of the Theory of Fuzzy sets and System, Biocybernetics of the Central Nervous System, 1969.
[10] Wiser system, http://wiser.nlm.nih.gov/about.html .
[11] MedWeaver medical software system, http://www.ovid.com/site/pdf/medweaverfactsheet.pdf.
[12] R. Schalkof, Artificial Neural Networks, Mc Graw Hill, 1994.