Review on Detection of Hypoglycaemia by Machine Learning Approach
نویسنده
چکیده
Doctor concluded related to an indication that someone has the potential against diabetes mellitus (DM) the architecture of the proposed method is designed. With the data obtained from the authorities in the laboratory, the model has been adjusted. Split points and using the Gina index the best split points are identified in this paper. By identifying false split points to minimize the calculation of Gini indices a method is proposed and Gaussian fuzzy function is used because the clinical data sets are not crisp, in this paper review the different method of diabetes classification.
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تاریخ انتشار 2017