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Classification of the Diagnosis of Diabetes based on Mixture of Expert Model

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(11), pp.149-157
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Lee, Hongki 1 Myoung, Sungmin 1

1중원대학교

Accredited

ABSTRACT

Diabetes is a chronic disease that requires continuous medical care and patient-self managementeducation to prevent acute complications and reduce the risk of long-term complications. The worldwideprevalence and incidence of diabetes mellitus are reached epidemic proportions in most populations. Earlydetection of diabetes could help to prevent its onset by taking appropriate preventive measures andmanaging lifestyle. The major objective of this research is to develop an automated decision supportsystem for detection of diabetes using mixture of experts model. The performance of the classification algorithms was compared on the Pima Indians diabetes dataset. The result of this study demonstrated thatthe mixture of expert model achieved diagnostic accuracies were higher than the other automateddiagnostic systems.

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