Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques

Published:2024-05-10 Issue: Volume: Page:24-28
ISSN:
Container-title:Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence
language:
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Author:

Vyas Tejas¹^ORCID,Chowdhury Mohsena¹^ORCID,Xiao Xiaojiao²^ORCID,Claeys Mathias³^ORCID,Ong Geraldine³^ORCID,Wang Guanghui¹^ORCID

Affiliation:

1. Department of Computer Science, Toronto Metropolitan University, Canada

2. Deapartment of Computer Science, Toronto Metropolitan University, Canada

3. St. Michael's Hospital, University of Toronto, Canada

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3670085.3670091

Reference19 articles.

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3. Anton Camaj Vinod H Thourani Linda D Gillam and Gregg W Stone. [n. d.]. Heart Failure and Secondary Mitral Regurgitation: A Contemporary Review. Journal of the Society for Cardiovascular Angiography & Interventions 2 6 ([n. d.]).

4. M. Geyer, K. Keller, S. Born, K. Bachmann, A. R. Tamm, T. F. Ruf, F. Kreidel, O. Hahad, M. Ahoopai, L. Hobohm, A. Beiras-Fernandez, A. Kornberger, E. Schulz, T. Münzel, and R. S. von Bardeleben. 2021. Predictors of short- and long-term outcomes of patients undergoing transcatheter mitral valve edge-to-edge repair. Catheterization and Cardiovascular Interventions 97, 3 (2 2021), E390–E401.

5. L. L. Gheorghe, S. Mobasseri, E. Agricola, D. D. Wang, F. Milla, M. Swaans, and et al.2021. Imaging for Native Mitral Valve Surgical and Transcatheter Interventions. JACC: Cardiovascular Imaging 14, 1 (1 2021), 112–127.