A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67285-9_2
Reference19 articles.
1. van Erven, L., et al.: Attitude towards redundant leads and the practice of lead extractions: a European survey. Europace 12(2), 275–276 (2010)
2. Bongiorni, M.G., et al.: The European lead extraction ConTRolled (ELECTRa) study: a European heart rhythm association (EHRA) registry of transvenous lead extraction outcomes. Eur. Heart J. 38(40), 2995–3005 (2017)
3. Sidhu, B.S., et al.: Risk stratification of patients undergoing transvenous lead extraction with the ELECTRa registry outcome score (EROS): an ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry analysis. Europace 23(9), 1462–1471 (2021)
4. Mehta, V.S., et al.: Machine learning–derived major adverse event prediction of patients undergoing transvenous lead extraction: using the ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry. Heart Rhythm 19(6), 885–893 (2022)
5. Tułecki, Ł, et al.: A study of major and minor complications of 1500 transvenous lead extraction procedures performed with optimal safety at two high-volume referral centers. Int. J. Environ. Res. Public Health 18(19), 10416–10429 (2021)
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