Abdul Rahim, Herlina and Ibrahim, Fatimah and Taib, Mohd. Nasir and Abdul Rahim, R. and Mad Sam, Y. (2008) Monitoring haemoglobin status in dengue patients using ARMAX model. In: Proceedings - International Symposium on Information Technology 2008, ITSim. Institute of Electrical and Electronics Engineers, New York, 351 -358. ISBN 978-142442328-6
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Official URL: http://dx.doi.org/10.1109/ITSIM.2008.4631563
Abstract
This paper describes the development of linear autoregressive moving average with exogenous input (ARMAX) models to monitor the progression of dengue infection based on hemoglobin status. Three differents ARMAX 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 (NARMAX) model.
| Item Type: | Book Section |
|---|---|
| Additional Information: | ISBN: 978-142442328-6; International Symposium on Information Technology 2008, ITSim; Kuala Lumpur; 26 August 2008 through 29 August 2008 |
| Uncontrolled Keywords: | composite structures, information technology, appropriate models, armax models, autoregressive, autoregressive moving averages, exogenous inputs, final prediction errors, haemoglobin, lipschitz, hemoglobin |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 12680 |
| Deposited By: | Liza Porijo |
| Deposited On: | 21 Jun 2011 09:52 |
| Last Modified: | 04 Oct 2017 03:42 |
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