Machine-Learning-Based Prediction of 1-Year Arrhythmia Recurrence after Ventricular Tachycardia Ablation in Patients with Structural Heart Disease

Machine-Learning-Based Prediction of 1-Year Arrhythmia Recurrence after Ventricular Tachycardia Ablation in Patients with Structural Heart Disease

Background: Ventricular tachycardia (VT) recurrence after catheter ablation remains a concern, emphasizing the need for precise risk assessment. We aimed to use machine learning (ML) to predict 1-month and 1-year VT recurrence following VT ablation. Methods: For 337 patients undergoing VT ablation,...

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Bibliographic Details
Main Authors: Ferenc Komlósi, Patrik Tóth, Gyula Bohus, Péter Vámosi, Márton Tokodi, Nándor Szegedi, Zoltán Salló, Katalin Piros, Péter Perge, István Osztheimer, Pál Ábrahám, Gábor Széplaki, Béla Merkely, László Gellér, Klaudia Vivien Nagy
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Bioengineering
Subjects:
ventricular tachycardia
catheter ablation
recurrence
machine learning
random forest
Online Access:https://www.mdpi.com/2306-5354/10/12/1386

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https://www.mdpi.com/2306-5354/10/12/1386

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