Machine Learning Algorithms for Prediction of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement-Reference-Cited by-同舟云学术

Machine Learning Algorithms for Prediction of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement

Published:2021-03 Issue:3 Volume:14 Page:
ISSN:1941-3149
Container-title:Circulation: Arrhythmia and Electrophysiology
language:en
Short-container-title:Circ: Arrhythmia and Electrophysiology

Author:

Tsushima Takahiro¹^ORCID,Al-Kindi Sadeer²^ORCID,Nadeem Fahd²^ORCID,Attizzani Guilherme F.²,Elgudin Yakov³,Markowitz Alan³^ORCID,Costa Marco A.²,Simon Daniel I.²^ORCID,Arruda Mauricio S.²,Mackall Judith A.²^ORCID,Thal Sergio G.²

Affiliation:

1. Department of Medicine (T.T.), Case Western Reserve University, Harrington Heart and Vascular Institute, and University Hospitals Cleveland Medical Center, OH.

2. Division of Cardiology, Department of Medicine (S.A.-K., F.N., G.F.A., M.A.C., D.I.S., M.S.A., J.A.M., S.G.T.), Case Western Reserve University, Harrington Heart and Vascular Institute, and University Hospitals Cleveland Medical Center, OH.

3. Division of Cardiac Surgery, Department of Surgery (Y.E., A.M.), Case Western Reserve University, Harrington Heart and Vascular Institute, and University Hospitals Cleveland Medical Center, OH.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Reference5 articles.

1. Machine Learning in Medicine

2. Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement

3. Risk Prediction Model for Cardiac Implantable Electronic Device Implantation After Transcatheter Aortic Valve Replacement

4. PACEMAKER IMPLANTATION FOLLOWING TAVR: USING MACHINE LEARNING TO OPTIMIZE RISK STRATIFICATION

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