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- W4384698964 abstract "Coronary Artery Disease (CAD) is a leading cause of life-threatening ventricular arrhythmias (LTVAs). This study aimed to identify distinct clusters of CAD individuals based on QRS morphology using a 3-nearest neighbors clustering algorithm. Cluster 1, characterized by the lowest QRS amplitudes and widest QRS complexes, was strongly associated with LTVA risk." @default.
- W4384698964 created "2023-07-20" @default.
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- W4384698964 date "2023-07-07" @default.
- W4384698964 modified "2023-09-26" @default.
- W4384698964 title "ECG-Based Unsupervised Clustering in Coronary Artery Disease Associates with Ventricular Arrhythmia" @default.
- W4384698964 doi "https://doi.org/10.26754/jjii3a.20239034" @default.
- W4384698964 hasPublicationYear "2023" @default.
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