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Cardiovascular disease (CVD) caused by atherosclerosis is one of the major causes of death world-wide. Currently, diverse machine learning models have been applied to disease prediction and classification. However, most of them tend to focus on the performance of the algorithm and neglect the underlying variables for patients in different carotid atherosclerotic stages. In this paper, we propose a...
Fuzzy theory has been regarded as a very important technique for quality management (QM) of distributed manufacturing system and attracts the attentions of academic and industry; however, there is a lack of a comprehensive literature review and a classification scheme for it. This paper is the first academic literature review of the fuzzy theory applied in quality management of distributed manufacturing...
Text sentiment classification can be extensively applied to information retrieval, text filtering, online tracking evaluation, the diagnoses of public opinions and chat systems. In this paper, a kinds of hybrid methods, based on category distinguishing ability of words and information gain, is adopted to feature selection. For examining the impact of varying the feature dimension to classification...
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