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 3 The built machine learning model performance in the differentiation of control, type 1 diabetes mellitus, and type 2 diabetes mellitus, mean (95%CI)

Statistic	No DM	Type 1 DM	Type 2 DM
Area under the curve	0.82 (0.76-0.87)	0.84 (0.76-0.91)	0.69 (0.61-0.76)
Sensitivity	0.65 (0.57-0.72)	0.85 (0.68-1.00)	0.91 (0.81-0.98)
Specificity	0.89 (0.81-0.97)	0.69 (0.63-0.75)	0.42 (0.34-0.49)
Positive predictive value	0.94 (0.89-0.98)	0.21 (0.13-0.32)	0.28 (0.21-0.36)
Negative predictive value	0.51 (0.42-0.60)	0.98 (0.95-1.00)	0.95 (0.89-0.99)

DM: 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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