Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters

doi:10.4330/wjc.v17.i4.104396

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 4

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (34)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-2) series, Tables (1-10) series.

Item

Count

PDF

HTML

Figures (1-2)

Tables (1-10)

Sum=32

Apr 26, 2025 (publication date) through Apr 21, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Cardiology

ISSN

1949-8462

Publisher of This Article

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

Clinical Trials Study

World J Cardiol. Apr 26, 2025; 17(4): 104396
Published online Apr 26, 2025. doi: 10.4330/wjc.v17.i4.104396

Full Size Figure Download Figure

Figure 1 Presentation of the study. Single-lead electrocardiography using Cardio-Qvark is performed at rest. Subsequently, participants perform exercise via bicycle ergometry (on SCHILLER device c 200; Bruce protocol or modified Bruce protocol). Immediately after bicycle ergometry, Cardio-Qvark is performed again while sitting. CTP: computed tomography myocardial perfusion; ECG: Electrocardiography; ROC: Receiver operating characteristic.

Citation: 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
URL: https://www.wjgnet.com/1949-8462/full/v17/i4/104396.htm
DOI: https://dx.doi.org/10.4330/wjc.v17.i4.104396