Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regression

doi:10.4330/wjc.v18.i3.116115

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World Journal of Cardiology

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1949-8462

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Cardiol. Mar 26, 2026; 18(3): 116115
Published online Mar 26, 2026. doi: 10.4330/wjc.v18.i3.116115

Table 4 The one-versus-one classification-built model performance

Groups comparing	Area under the curve	Lower limit 95%CI	Upper limit 95%CI
No DM against T1DM	0.8981013	0.8439558	0.9522468
No DM against T2DM	0.7758087	0.7054986	0.8461189
T1DM against T2DM	0.6366667	0.4914294	0.7819039

DM: Diabetes mellitus; T1DM: Type 1 diabetes mellitus; T2DM: Type 2 diabetes mellitus.

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Citation: Karbovskaya AD, Marzoog BA, Stroeva A, Chomakhidze P, Gognieva D, Kuznetsova N, Syrkin A, Fadeev VV, Poluboyarinova IV, Ismailova SM, Suvorov A, Kopylov P. Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regression. World J Cardiol 2026; 18(3): 116115
URL: https://www.wjgnet.com/1949-8462/full/v18/i3/116115.htm
DOI: https://dx.doi.org/10.4330/wjc.v18.i3.116115

Karbovskaya AD, Marzoog BA, Stroeva A, Chomakhidze P, Gognieva D, Kuznetsova N, Syrkin A, Fadeev VV, Poluboyarinova IV, Ismailova SM, Suvorov A, Kopylov P. Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regression. World J Cardiol 2026; 18(3): 116115 [DOI: 10.4330/wjc.v18.i3.116115]

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