Classification of diabetes events using discriminant analysis

W. Rahayu; V.M. Santi; B.S. Putri

doi:10.1088/1742-6596/1402/7/077102

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Classification of diabetes events using discriminant analysis

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W. Rahayu, V.M. Santi, B.S. Putri

2019 Journal of Physics: Conference Series Vol. 1402 Issue 7 Conference paper Cited by 2 SDG 3

Abstract

This study aims to classify diabetes events accurately, because it can be used as early prevention before complications occur. Based on linear discriminant analysis, it gets that someone who have more weight, lower age, and more cholesterol level will make s/he classified into diabetes patient. Then, based on APER test, it gets results the percentage of misclassification is 14%. Therefore, classification of diabetes case using discriminant analysis can be used for the classification of diabetics, because the accuracy has a reasonably high result. Classification with discriminant analysis is expected to be applicable to other diseases datasets. © 2019 IOP Publishing Ltd.

Affiliations

Program Studi Statistika, FMIPA Universitas Negeri Jakarta, Jakarta, Indonesia; Program Studi Matematika, FMIPA, Universitas Negeri Jakarta, Jakarta, Indonesia

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