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Application of modeling techniques to diabetes diagnosis

Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka and Shafie, Amir Akramin (2010) Application of modeling techniques to diabetes diagnosis. In: 2010 IEEE EMBS Conference on Biomedical Engineering & Sciences (IECBES 2010), 30 November - 2 December 2010, Kuala Lumpur, malaysia.

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Abstract

In recent times, the introduction of complex-valued neural networks (CVNN) has widened the scope and applications of real-valued neural network (RVNN) and parametric modeling techniques. In this paper, new expert systems for automatic diagnosis and classification of diabetes using CVNN and RVNN based parametric modeling approaches have been suggested. Application of complex data normalization technique converts the real valued input data to complex valued data (CVD) by the process of phase encoding over unity magnitude. CVNN learn the relationship between the input and output phase encoded data during training and the coefficients of Complex-valued autoregressive (CAR) model can be extracted from the complex-valued weights and coefficients of the trained network. Classification of the obtained CAR or RVAR model coefficients results in required distinct classes for diagnosis purpose. Similar operations can be performed for real-valued autoregressive technique except for CVD normalization. The effect of data normalization techniques, activation functions, learning rate, number of neurons in the hidden layer and the number of epoch using the suggested techniques on PIMA INDIA diabetes dataset have been evaluated in this paper. Results obtained compares favorably with earlier reported results.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6472/1783
Uncontrolled Keywords: Complex-Valued Autoregressive (CAR)Model, Complex-Valued Neural Network (CV NN),Diabetes, Neurons, Parametric modeling techniques
Subjects: R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 07 Sep 2011 15:30
Last Modified: 18 Oct 2011 16:33
URI: http://irep.iium.edu.my/id/eprint/1783

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