Abstract 16388: Feature Selection Using Recursive Feature Elimination (RFE): Machine Learning Application in Predicting Permanent Pacemaker Implantation (PPMI) in Patients Undergoing Transcatheter Aortic Valve Replacement (TAVR)

Suleman Ilyas,Wasiq Sheikh,Anshul Parulkar,Malik Bilal Ahmed,Gerry Ovide,Benjamin Rosen,Brian Osler,Fabio V. Lima,Esseim Sharma,Anthony F. Chu

Abstract 16388: Feature Selection Using Recursive Feature Elimination (RFE): Machine Learning Application in Predicting Permanent Pacemaker Implantation (PPMI) in Patients Undergoing Transcatheter Aortic Valve Replacement (TAVR)

2020

Suleman Ilyas
Wasiq Sheikh
Anshul Parulkar
Malik Bilal Ahmed
Gerry Ovide
Benjamin Rosen
Brian Osler
Fabio V. Lima
Esseim Sharma
Anthony F. Chu

Introduction: TAVR is increasingly being performed because of several recent large-scale clinical trials supporting its use across a range of patient sub-classes. Although it provides life-altering...

Keywords:

permanent pacemaker
Feature selection
Clinical trial
Valve replacement
transcatheter aortic
Cardiology
Medicine
Interventional cardiology
Internal medicine
in patient

Correction
Source
Cite
Save
Machine Reading By IdeaReader

References

Citations