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

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Figure 2 Graphical representation of the diagnostic accuracy of the built model in the diagnosis of diabetes mellitus. AUC: Area under the curve; DM: Diabetes mellitus; ROC: Receiver operating characteristic.

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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