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We describe how the mobile-phone based Few Touch application for self-management will be used by a significant number of patients with diabetes mellitus Type 1 to assemble a data set with blood glucose concentration time series and information about exercise, diet, and insulin medication. Currently work in progress, these data are intended to be utilized when building a statistical multi-scale model...
Many real world problems can be solved with Artificial Neural Networks in the areas of pattern recognition, signal processing and medical diagnosis. Most of the medical data set is seldom complete. Artificial Neural Networks require complete set of data for an accurate classification. This paper dwells on the various missing value techniques to improve the classification accuracy. The proposed system...
Since 1980, the hypertension and diabetes mellitus in metabolic syndrome have appeared in the top ten causes of death every year in Taiwan. This research aims to study metabolic syndrome related disease by using data mining technique, and to understand the strength of association between diabetes mellitus, hypertension and hyperlipidemia. The data of this research came from the National Health Insurance...
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