Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods.

Journal: Diabetes & metabolic syndrome
PMID: 36527769

Abstract

BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in developing countries like India. The need for leveraging technology is felt in diabetes management. The main objective of this work is to deploy machine learning methods for the detection and classification of diabetes having clinical relevance.

Authors

  • Puneeth N Thotad
    Department of Master of Computer Applications, KLE Institute of Technology, Hubballi, 580 027, India. Electronic address: punit.ntotad@gmail.com.
  • Geeta R Bharamagoudar
    Department of Computer Science, KLE Institute of Technology, Hubballi, 580 027, India.
  • Basavaraj S Anami
    School of Computer Science & Engineering, KLE Technological University, Hubballi, 580 031, India.

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