2026-10-14T18:07:27Z https://www.scidb.cn/oai

10.57760/sciencedb.28648 2025-07-30T18:29:30Z

2025-07-30 Dataset and Analysis of Automated and Manual Methods to Differentiate Wide QRS Complex Tachycardias doi:10.57760/sciencedb.28648 en A recent publication (LoCoco et al., 2024) compared the diagnostic performance between traditional manual ECG interpretation approaches (i.e. Brugada, Vereckei aVR, and VT Score) to novel automated wide QRS complex tachycardia differentiation algorithms (i.e. WCT Formula I, WCT Formula II, VT Prediction Model, Solo Model, and Paired Model). In this article, a summary of data components relating to diagnostic performance of the methods tested is presented.   wide complex tachycardia; machine learning; ecg Sarah LoCoco PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1161/CIRCEP.123.012663 Science Data Bank