Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement: The role of machine learning

Agasthi, P., Ashraf, H., Pujari, S. H., Girardo, M., Tseng, A., Mookadam, F., Venepally, N., Buras, M. R., Abraham, B., Khetarpal, B. K., Allam, M., MD, S. K. M., Eleid, M. F., Greason, K. L., Beohar, N., Sweeney, J., Fortuin, D., Holmes, D. R. J., & Arsanjani, R. (2023). Prediction of permanent pacemaker implantation after transcatheter aortic valve replacement: The role of machine learning. World Journal of Cardiology, 15(3), 95–105. https://doi.org/10.4330/wjc.v15.i3.95
Authors:
Pradyumna Agasthi
Hasan Ashraf
Sai Harika Pujari
Marlene Girardo
Andrew Tseng
Farouk Mookadam
Nithin Venepally
Matthew R Buras
Bishoy Abraham
Banveet K Khetarpal
Mohamed Allam
Siva K Mulpuru Md
Mackram F Eleid
Kevin L Greason
Nirat Beohar
John Sweeney
David Fortuin
David R Jr Holmes
Reza Arsanjani
Affiliated Authors:
Nirat Beohar
Author Keywords:
machine learning
permanent pacemaker implantation
transcatheter aortic valve replacement
Publication Type:
Article
Unique ID:
10.4330/wjc.v15.i3.95
PMID:
Publication Date:
Data Source:
PubMed

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