A Novel Method to Classify Diabetes Mellitus using PIMA Indian Dataset

Guosheng Liang; Andrew J. Murphy

A Novel Method to Classify Diabetes Mellitus using PIMA Indian Dataset

Guosheng Liang, Andrew J. Murphy

Abstract

PIMA Indian dataset is the only dataset available for the diabetes classification and it is widely acceptable by all the researchers. In this work a novel method is proposed to classify the given features based on the importance of the features. The features are ranked according to the correlation then the features are processed during classification. This work analyses the diabetes risk of gestational women’s which makes some abnormality during maternity period. The evaluation reveals that the proposed method is a better than other standard classification methods.

Keywords

Gestational Diabetes Mellitus, PIMA, and Medical Examination Records of Normal and Abnormal of Labour Patients.

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References

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