Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach

doi:10.4330/wjc.v18.i3.116217

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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): 116217
Published online Mar 26, 2026. doi: 10.4330/wjc.v18.i3.116217

Table 5 The top 5 important features for each cluster with the importance coefficient

Cluster 1; feature (importance coefficient)	Cluster 2; feature (importance coefficient)	Cluster 3; feature (importance coefficient)	Cluster 4; feature (importance coefficient)
Tfi (0.203)	QRSfi (0.206)	Tfi (0.593)	Tfi (0.235)
HFQRS (0.043)	Age (0.120)	QTc (0.053)	Age (0.076)
RR (0.041)	Toffs (0.106)	Age (0.049)	PpeakN (0.051)
Beta (0.033)	QRSE1 (0.053)	Sbeta (0.020)	Rpeak (0.043)
QRSE4 (0.032)	QTc (0.040)	QRSE4 (0.019)	Pst (0.035)

Tfi: T-wave flatness index; QRSfi: QRS complex morphology; HFQRS: High-frequency QRS; QTc: Corrected QT; RR: RR interval; PpeakN: Negative P-wave peak amplitude; QRSE: QRS energy/spectral integral; Rpeak: R-wave amplitude; Pst: P-wave start time.

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Citation: Karbovskaya AD, Marzoog BA, Stroeva A, Suvorov A, Chomakhidze P, Gognieva D, Kuznetsova N, Syrkin A, Fadeev VV, Ismailova SM, Poluboyarinova IV, Kopylov P. Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach. World J Cardiol 2026; 18(3): 116217
URL: https://www.wjgnet.com/1949-8462/full/v18/i3/116217.htm
DOI: https://dx.doi.org/10.4330/wjc.v18.i3.116217

Karbovskaya AD, Marzoog BA, Stroeva A, Suvorov A, Chomakhidze P, Gognieva D, Kuznetsova N, Syrkin A, Fadeev VV, Ismailova SM, Poluboyarinova IV, Kopylov P. Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach. World J Cardiol 2026; 18(3): 116217 [DOI: 10.4330/wjc.v18.i3.116217]

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