Model order selection criterion for monitoring haemoglobin status in dengue patients using ARX model

Rahim, H.A. and Ibrahim, F. and Taib, M.N. (2008) Model order selection criterion for monitoring haemoglobin status in dengue patients using ARX model. In: 5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008, 2008, Shenzhen.

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Abstract

This paper describes the development of linear autoregressive with exogenous input (ARX) models to monitor the progression of dengue infection based on hemoglobin status. Three differents ARX model order selection criteria namely Final Prediction Error (FPE), Akaike's Information Criteria (AIC) and Lipschitz number have been evaluated and analyzed. The results showed that Lipschitz number has better accuracy compared to FPE and AIC. Finally based on Lipschitz number, appropriate model orders have been selected to monitor the progression of dengue patients based on hemoglobin status. Further work is to apply this appropriate model orders to nonlinear Autoregressive (NARX) model. © 2008 IEEE.

Item Type:	Conference or Workshop Item (Paper)
Funders:	UNSPECIFIED
Additional Information:	Conference code: 73498 Export Date: 29 January 2014 Source: Scopus Art. No.: 4570537 doi: 10.1109/ITAB.2008.4570537 Language of Original Document: English Correspondence Address: IEEE References: Bethell, D.B., Gamble, J., Loe, P.P., Dung, N.M., Chau, T.T.H., Loan, H.T., Thuy, T.T., Day, N.P.J., Noninvasive measurement of microvascular leakage in patients with dengue hemorhhagic fever (2001) Clin. Infect. Dis, 32, pp. 243-253; Ibrahim, F., Taib, M.N., Sulaiman, S., Wan Abas, W.A.B., Dengue fever (DF) and dengue hemorrhagic fever (DHF) symptoms analysis fron an expert system perspective (2001) Proc. Proc. of 5th IEEE Int. Multi-Topic, pp. 212-215; W. H. Organization, Dengue Haemorrhagic fever Diagnosis, treatment, Prevention, and control, 2nd ed. Geneva: WHO, 1997Ibrahim, F., Taib, M.N., Wan Abas, W.A.B., Chan, C.G., Sulaiman, S., A Novel Approach to Classify Risk in Dengue Hemorrhagic fever (DHF) using Bioelectrical Impedance Analysis (2005) IEEE Trans. Instrum. Meas, 54 (1), pp. 237-244; Ibrahim, 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; Ibrahim, F., Prognosis of dengue fever and dengue haemorrhagic fever using bioelectrical impedance, (2005), Ph.D dissertation, Department of Biomedical Engineering,University of Malaya, JulyIbrahim, F., Taib, M.N., Wan Abas, W.A.B., Guan, C.C., Sulaiman, S., A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using artificial neural network (2005) Compu. Methods Programs Biomed, 79, pp. 273-281; 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., Modelling of hemoglobin in dengue infection application (2006) Journal of Electrical Engineering (ELEKTRIKA), 8, pp. 64-67 Sponsors: Chinese Acad. Sci. Shenzhen Academician Consultation Center; Chinese University of Hong Kong; Chinese Academy of Sciences; Institute of Biomedical and Health Engineering; Shenzhen Institute of Advanced Technology; Key Laboratory for Biomedical Informatics and Health Engineering
Uncontrolled Keywords:	Hemoglobin, Information technology, ARX models, Auto-regressive, Autoregressive with exogenous input, Final prediction error, Haemoglobin, Information criterion, International conferences, International symposium, Lipschitz, Model-order selection, Summer schools, Technology
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 02:22
Last Modified:	01 Nov 2017 04:03
URI:	http://eprints.um.edu.my/id/eprint/9303

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