Cardiomyopathy prediction in patients with permanent ventricular pacing using machine learning methods

Cardiomyopathy prediction in patients with permanent ventricular pacing using machine learning methods

Pacing-induced cardiomyopathy is a notable issue in patients needing permanent ventricular pacing. Identifying risk groups early and swiftly preventing the ailment can reduce patient harm. However, current prognostic methods require clarity. We employed machine learning to develop predictive models...

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Bibliographic Details
Main Authors: Євген Перепека, Василь Лазоришинець, Віталій Бабенко, Ілля Давидович, Євген Настенко
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2024-03-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
permanent ventricular pacing
risk factors
artificial intelligence
forecasting
machine learning
Online Access:http://journal.iasa.kpi.ua/article/view/285956
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http://journal.iasa.kpi.ua/article/view/285956

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