in this paper, we propose a new residual analysis method using fourier series transform into fuzzy time series model for improving the forecasting performance. this hybrid model takes advantage of the high predictable power of fuzzy time series model and fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...

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OBJECTIVES A treatment pathway model was developed to examine the costs and benefits of the current bowel cancer service in England and to evaluate potential alternatives in service provision. To use the pathway model, various parameters and probability distributions had to be specified. They could not all be determined from empirical evidence and, instead, expert opinion was elicited in the fo...

Nonexpert peer-based knowledge refinement, it turns out, is just as helpful as expert-centric knowledge refinement for improving the quality of results. 83 Knowledge management (KM) repository-based systems (such as those involving " best practices " and " lessons learned " applications) are generally costly to operate since they require expert judgment to determine which knowledge submissions ...

We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven processes, which comprising a homogeneous process shared among multivariate time series and a particular process refining the homogeneous process. Causality map is drawn using Akaike noise contribution ratio theory, by...

CRITICAL THINKING, DEFINED AS PURPOSEFUL SELF-REGULATORY JUDGMENT, IS CENTRALLY EVIDENT IN NURSING KNOWLEDGE DEVELOPMENT AND EXPERT CLINICAL JUDGMENT. A HOLISTIC CT SCORING RUBRIC, A FRAMEWORK FOR CT INDIVIDUAL AND GROUP PRESENTATIONS, AND A CASE STUDY STRATEGY FOR TRAINING AND NURTURING CT IN STUDENTS ILLUSTRATE THAT THE CT IN NURSING KNOWLEDGE DEVELOPMENT AND CLINICAL JUDGMENT CAN BE EXTERNAL...

Semantic relation extraction is one of the frontiers of biomedical natural language processing research. Gold standards are key tools for advancing this research. It is challenging to generate these standards because of the high cost of expert time and the difficulty in establishing agreement between annotators. We implemented and evaluated a microtask crowdsourcing approach that can produce a ...

A mathematical model of chicken processing that quantitatively describes the transmission of Campylobacter on chicken carcasses from slaughter to chicken meat product has been developed in Nauta et al. (2005). This model was quantified with expert judgment. Recent availability of data allows updating parameters of the model to better describe processes observed in slaughterhouses. We propose Ba...