Title :
Model order selection criterion for monitoring haemoglobin status in dengue patients using ARX model
Author :
Rahim, H.Abdul ; Ibrahim, F. ; Taib, M.N.
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), Akaikepsilas 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.
Keywords :
autoregressive processes; biochemistry; biomedical measurement; blood; diseases; medical diagnostic computing; molecular biophysics; patient monitoring; proteins; AIC; Akaikepsilas information criteria; FPE; Lipschitz number; dengue infection; dengue patient monitoring; exogenous input models; final prediction error; haemoglobin status monitoring; linear autoregressive models; model order selection criterion; Biomedical engineering; Biomedical signal processing; Electric shock; Hemorrhaging; Information technology; Mathematical model; Patient monitoring; Permeability; Plasma measurements; Predictive models;
Conference_Titel :
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-2254-8
Electronic_ISBN :
978-1-4244-2255-5
DOI :
10.1109/ITAB.2008.4570537
