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The unified Parkinson's disease rating scale (UPDRS) is the most widely employed scale for tracking Parkinson's disease (PD) symptom progression. However, conventional way to achieve UPDRS, mainly based on the physical examinations of clinic patients performed by the trained medical staffs, involves the disadvantages of inconvenience and high medical expense. Hence, in this study, we try to explore...
In recent years, type II diabetes has become a serious disease that threaten the health and mind of human. Efficient predictive modeling is required for medical researchers and practitioners. This study proposes a type II diabetes prediction model based on random forest which aims at analyzing some readily available indicators (age, weight, waist, hip, etc.) effects on diabetes and discovering some...
The GM(1,1) model usually uses the first component of the first order accumulated generating operation(AGO) sequence X(1) as the initial condition to model in the research and application of image edge detection. This model has the disadvantage of being unable to completely utilize the latest information. Also it can't detect out all edge points because it detects the image only on two directions...
It is well known that fuzzy inference system and fuzzy comprehensive evaluation, as important member of computational intelligence, are consistent in the target layer. The paper analyzes the mapping relations of fuzzy comprehensive evaluation, and also proves that nonlinear approximation ability of fuzzy comprehensive evaluation is as good as fuzzy inference system's. In order to acquire better weight,...
Eye tracking is the focus problem in the researching domain of human-machine interaction and computer vision in recent years. The method of using a single eye location and detection algorithm has poor real-time performance. So a new eye tracking method is proposed in this paper. This method combines the location and detection algorithm with the grey prediction for eye tracking. The GM(1,1) model is...
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