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Cited by in CrossRef
For: Marzoog BA, Chomakhidze P, Gognieva D, Silantyev A, Suvorov A, Abdullaev M, Mozzhukhina N, Filippova DA, Kostin SV, Kolpashnikova M, Ershova N, Ushakov N, Mesitskaya D, Kopylov P. Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters. World J Cardiol 2025; 17(4): 104396 [PMID: 40308623 DOI: 10.4330/wjc.v17.i4.104396]
URL: https://www.wjgnet.com/1949-8462/full/v17/i4/104396.htm
Number Citing Articles
1
Anna Dmitrievna Karbovskaya, Basheer Abdullah Marzoog, Anastasia Stroeva, Alexander Suvorov, Peter Chomakhidze, Daria Gognieva, Natalia Kuznetsova, Abromavich Syrkin, Valentin V Fadeev, Sevindzh M Ismailova, Irina V Poluboyarinova, Philipp Kopylov. Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approachWorld Journal of Cardiology 2026; 18(3): 116217 doi: 10.4330/wjc.v18.i3.116217
2
Wenhua Song, Runze Gao, Tong Liu. Artificial Intelligence‐Enabled Electrocardiogram for the Detection and Management of Cancer Therapy‐Related CardiotoxicityCancer Innovation 2025; 4(6) doi: 10.1002/cai2.70042
3
Wen-Hua Song, Gary Tse, Kang-Yin Chen, Tong Liu. Artificial intelligence-enabled single-lead electrocardiogram in early detection of ischemic heart diseaseWorld Journal of Cardiology 2025; 17(7): 108510 doi: 10.4330/wjc.v17.i7.108510
4
Aditya Dave, Amartya Dave, Issam D. Moussa. The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac DysfunctionBioengineering 2026; 13(2): 167 doi: 10.3390/bioengineering13020167
5
Anna Dmitrievna Karbovskaya, Basheer Abdullah Marzoog, Anastasia Stroeva, Peter Chomakhidze, Daria Gognieva, Natalia Kuznetsova, Abromavich Syrkin, Valentin V Fadeev, Irina V Poluboyarinova, Sevindzh M Ismailova, Alexander Suvorov, Philipp Kopylov. Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regressionWorld Journal of Cardiology 2026; 18(3): 116115 doi: 10.4330/wjc.v18.i3.116115