This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (59) Artificial Intelligence in Diabetes Care and Prevention (59) Machine Learning (2184) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (97)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82084, first published .
Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis

Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis

Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis

Authors of this article:

Flavia Maria G S A Oliveira1 Author Orcid Image ;   Sandro Muniz Cavalcanti1 Author Orcid Image ;   Michael C K Khoo2 Author Orcid Image
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Flavia Maria G S A Oliveira   1 , PhD ;   Sandro Muniz Cavalcanti   1 , BSc ;   Michael C K Khoo   2 , PhD

1 Department of Electrical Engineering, School of Technology, University of Brasilia, Brasilia-DF, Brazil

2 Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States

Corresponding Author:

  • Flavia Maria G S A Oliveira, PhD
  • Department of Electrical Engineering
  • School of Technology, University of Brasilia
  • Campus Universitário Darcy Ribeiro, Asa Norte
  • Brasilia-DF 70910-900
  • Brazil
  • Phone: 55 61 3107 5510
  • Email: flavia@ene.unb.br