Akkarapol Sa-ngasoongsong

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Preventing the disease of diabetes is an ongoing area of interest to the healthcare community. Although many studies employ several data mining techniques to assess the leading causes of diabetes, only small sets of clinical risk factors are considered. Consequently, not only many potentially important variables such as pre-diabetes health conditions are(More)
Obstructive sleep apnea (OSA) is a common sleep disorder that causes increasing risk of mortality and affects quality of life of approximately 6.62% of the total US population. Timely detection of sleep apnea events is vital for the treatment of OSA. In this paper, we present a novel approach based on extracting the quantifiers of nonlinear dynamic(More)
Long-term prediction of customer preferences is becoming essential for effective product portfolio design in broad industrial sectors such as automotive, aerospace, consumer electronics, where typical concept-to-release times are long (24-60 months). However, nonlinear and nonstationary evolutions of customer preferences hinder accurate prediction of the(More)
Vector Error Correction Model (VECM) has recently become a popular tool for economic analysis and forecasting for multivariate cointegrated time series. However, one problem of this type of model is over-parameterization issue. Traditional method to address this problem is to impose weak exogeneity assumption on variables. Assuming unknown structural(More)
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