Abdul Rahim, H. and Ibrahim, F. and Taib, M. N. (2011) Application of bioelectrical impedance sensing techniques for dengue infection with non-linear autoregressive model. International Journal of Computer Technology and Applications, 2 (1). pp. 207-215. ISSN 2229-6093
This paper discussed novel system identification for bioelectrical impedance measurement parameter for monitoring dengue infections by using nonlinear AR (NAR) based on Artificial Neural Network (ANN). Bioelectrical impedance measurement indicate the volume of Hb of the subjects and NAR model with regularized approach yields better accuracy by 80.60% for bioelectrical impedance sensing method. In building the model, three parameter were considered; the final prediction error (FPE), Akaike’s Information Criteria (AIC), and Lipschitz number.
|Uncontrolled Keywords:||dengue fever, NAR model, AIC, lipschitz, FPE, ROC, AUC|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Liza Porijo|
|Deposited On:||15 Dec 2008 07:14|
|Last Modified:||01 Sep 2015 08:07|
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