Machine learning–derived major adverse event prediction of patients undergoing transvenous lead extraction: Using the ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry-Reference-Cited by-同舟云学术

Machine learning–derived major adverse event prediction of patients undergoing transvenous lead extraction: Using the ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry

Published:2022-06 Issue:6 Volume:19 Page:885-893
ISSN:1547-5271
Container-title:Heart Rhythm
language:en
Short-container-title:Heart Rhythm

Author:

Mehta Vishal S.^ORCID,O’Brien Hugh,Elliott Mark K.,Wijesuriya Nadeev,Auricchio Angelo,Ayis Salma,Blomstrom-Lundqvist Carina,Bongiorni Maria Grazia,Butter Christian,Deharo Jean-Claude,Gould Justin,Kennergren Charles,Kuck Karl-Heinz,Kutarski Andrzej,Leclercq Christophe,Maggioni Aldo P.,Sidhu Baldeep S.,Wong Tom,Niederer Steven,Rinaldi Christopher A.

Publisher

Elsevier BV

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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1. Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning models;Heart Rhythm;2024-06

2. A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures;Lecture Notes in Computer Science;2024

3. Lead Extraction–Indications, Procedure, and Future Directions;Cardiology in Review;2023-09-20

4. Transvenous Lead Extraction: Outcomes From a Single Centre Providing a National Service for New Zealand;Heart, Lung and Circulation;2023-09

5. Predictors for adverse events during cardiac lead extraction – Experience from a large single centre;International Journal of Cardiology;2023-01