Title :
Research on glucose concentration predicting based on ARMA model
Author :
Zhang Ying ; Kang Rui ; Xiang Shihong
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
This paper attempts to apply the ARMA (Auto Regressive Moving Average) model to predict patients´ glucose concentration because of the successful application of time series ARMA model in forecasting the fault rate. This paper gives the glucose concentration prediction method based on ARMA model and the actualization on MATLAB platform. After analyzing the time series of several patients´ glucose concentration, use MATLAB platform to calculate the parameters of ARMA model, then predict the glucose concentration. The prediction process and results show that the ARMA model is suitable for some patients´ glucose concentration.
Keywords :
autoregressive moving average processes; biochemistry; diseases; sugar; time series; MATLAB platform; autoregressive moving average model; glucose concentration prediction method; patient glucose concentration; time series ARMA model; Autoregressive processes; Correlation; Mathematical model; Modeling; Predictive models; Sugar; Time series analysis; ARMA model; forecasting; glucose concentration; time series;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988189