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Diabetes Mellitus Risk Factor Prediction Through Resampling and Cost Analysis on Classifiers

Publication Type : Book Chapter

Publisher : Springer CCIS Series

Source : International Conference on Social Transformation - Digital Way

Url :

Campus : Chennai

School : School of Engineering

Department : Computer Science and Engineering

Year : 2018

Abstract : With increasing change in sedentary life style and food habits, diabetes is greatly becoming a bane. It is becoming very critical disease in India with more than 62 million diabetic individuals currently diagnosed with the disease. It is also a growing issue throughout the world. But with modern techniques for analysis, it is very much possible to predict the disease very early and control it by pervasive care. Data Mining techniques and Predictive Analysis are focussed in the proposed system. When select techniques are used for classification after pre-processing the data, along with attribute selection and, it is found that the performance of the classifiers is good. The system presents correlation and correspondence analysis over the attributes in the dataset, a comparative analysis amid several classifiers under the experimental environment in order to propose an efficient hybrid classifier to provide precise prediction over the disease

Cite this Research Publication : J.Jeyalakshmi, S.Poonkuzhali and S.SreeSubha, “Diabetes Mellitus Risk Factor Prediction through Resampling and Cost Analysis on Classifiers”, International Conference on Social Transformation - Digital Way , at Kolkata, India, 19-21 January 2018 published in Springer CCIS Series, pp-212-225,2018. , Print ISBN

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