A novel prediction system in dengue fever using NARMAX model
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 s...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/9334/1/A_novel_prediction_system_in_dengue_fever_using_NARMAX_model.pdf |
| _version_ | 1825719689308798976 |
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| author | Rahim, H.A. Ibrahim, F. Taib, M.N. |
| author_facet | Rahim, H.A. Ibrahim, F. Taib, M.N. |
| author_sort | Rahim, H.A. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:23:34Z |
| format | Conference or Workshop Item |
| id | um.eprints-9334 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:23:34Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | um.eprints-93342017-11-01T03:57:29Z http://eprints.um.edu.my/9334/ A novel prediction system in dengue fever using NARMAX model Rahim, H.A. Ibrahim, F. Taib, M.N. T Technology (General) TA Engineering (General). Civil engineering (General) 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. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/9334/1/A_novel_prediction_system_in_dengue_fever_using_NARMAX_model.pdf 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. http://www.scopus.com/inward/record.url?eid=2-s2.0-48349086238&partnerID=40&md5=c1bb54df8809176e479274f39053dfd3 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=4406927 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) Rahim, H.A. Ibrahim, F. Taib, M.N. A novel prediction system in dengue fever using NARMAX model |
| title | A novel prediction system in dengue fever using NARMAX model |
| title_full | A novel prediction system in dengue fever using NARMAX model |
| title_fullStr | A novel prediction system in dengue fever using NARMAX model |
| title_full_unstemmed | A novel prediction system in dengue fever using NARMAX model |
| title_short | A novel prediction system in dengue fever using NARMAX model |
| title_sort | novel prediction system in dengue fever using narmax model |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://eprints.um.edu.my/9334/1/A_novel_prediction_system_in_dengue_fever_using_NARMAX_model.pdf |
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