A novel prediction system in dengue fever using NARMAX model

Rahim, H.A. and Ibrahim, F. and Taib, M.N. (2007) A novel prediction system in dengue fever using NARMAX model. In: International Conference on Control, Automation and Systems, ICCAS 2007, 2007, Seoul.

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Abstract

This paper describes the development of nonlinear autoregressive moving average with exogenous input (NARMAX) models in diagnosing dengue infection. The developed system bases its prediction solely on the bioelectrical impedance parameters and physiological data. Three different NARMAX model order selection criteria namely FPE, AIC and Lipschitz have been evaluated and analyzed. This model is divided two approaches which are unregularized approach and regularized approach. The results show that using Lipschitz number with regularized approach yield better accuracy by 88.40 to diagnose the dengue infections disease. Furthermore, this analysis show that the NARMAX model yield better accuracy as compared to autoregressive moving average with exogenous input (ARMAX) model in diagnosis intelligent system based on the input variables namely gender, weight, vomiting, reactance and the day of the fever as recommended by the outcomes of statistical tests with 76.70 accuracy. © ICROS.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 72829 Export Date: 29 January 2014 Source: Scopus Art. No.: 4406927 doi: 10.1109/ICCAS.2007.4406927 Language of Original Document: English Correspondence Address: Rahim, H. A.; Department of Control and Instrumentation, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia; email: herlina@fke.utm.my References: Lusted, L.B., Signal detectability and medical decision-making (1971) Science, 171, pp. 1217-1219; Zweigh, M.H., Campbell, G., Receiver-operating characteristic (ROC) plot: A fundamental evaluation tool in clinical medicine (1993) Clin. Chem, 39, pp. 561-577; Ibrahim, F., Prognosis of dengue fever and dengue haemorrhagic fever using bioelectrical impedance, (2005), PhD Thesis, Department of Biomedical Engineering,University of Malaya, JulyIbrahim, F., Ismail, N.A., Taib, M.N., Wan Abas, W.A.B., Modeling of hemoglobin in dengue fever and dengue hemorrhagic fever using biolectrical impedance (2004) Physiol. Meas, 25, pp. 607-615; Herlina, A.R., Fatimah, I., Mohd Nasir, T., A non-invasive system for predicting hemoglobin (Hb) in dengue fever (DF) and dengue hemorrhagic fever (DHF) (2005) Proc. Int. Conf. on Sensor and New Techniques in Pharmaceutical and Biomedical Research (ASIASENSE), , Kuala Lumpur; Abdul Rahim, H., Ibrahim, F., Taib, M.N., A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using ARMAX model (2007) Proc. Int. Conf. on Sensor and New Techniques in Pharmaceutical and Biomedical Research (ASIASENSE), , Manila
Uncontrolled Keywords:	Dengue fever, Modeling, NARMAX, Composite structures, Intelligent systems, Nonlinear control systems, Statistical tests, Uncertain systems, Autoregressive moving averages, Bioelectrical impedances, Exogenous inputs, Infections diseases, Input variables, Lipschitz, Narmax models, Nonlinear autoregressive moving average with exogenous inputs, Physiological datums, Prediction systems, Physiological models
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	26 Mar 2014 02:10
Last Modified:	01 Nov 2017 03:57
URI:	http://eprints.um.edu.my/id/eprint/9334

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