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PACEMAKER IMPLANTATION FOLLOWING TAVR: USING MACHINE LEARNING TO OPTIMIZE RISK STRATIFICATION
PACEMAKER IMPLANTATION FOLLOWING TAVR: USING MACHINE LEARNING TO OPTIMIZE RISK STRATIFICATION
2020
Vien T. Truong
Matthew Wigle
Emma Bateman
Akhil Pallerla
Tam N. M. Ngo
Daniel Beyerbach
Dean J. Kereiakes
Satya Shreenivas
Justin T. Tretter
Cassady Palmer
Wojciech Mazur
Eugene Chung
Keywords:
Intensive care medicine
Medicine
Cardiology
Internal medicine
pacemaker implantation
risk stratification
Correction
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