Machine learning for multidimensional response and survival after cardiac resynchronization therapy using features from cardiac magnetic resonance-Reference-Cited by-同舟云学术

Machine learning for multidimensional response and survival after cardiac resynchronization therapy using features from cardiac magnetic resonance

Published:2022-10 Issue:5 Volume:3 Page:542-552
ISSN:2666-5018
Container-title:Heart Rhythm O2
language:en
Short-container-title:Heart Rhythm O2

Author:

Bivona Derek J.,Tallavajhala Srikar,Abdi Mohamad,Oomen Pim J.A.,Gao Xu,Malhotra Rohit,Darby Andrew E.,Monfredi Oliver J.,Mangrum J. Michael,Mason Pamela K.,Mazimba Sula,Salerno Michael,Kramer Christopher M.,Epstein Frederick H.,Holmes Jeffrey W.,Bilchick Kenneth C.^ORCID

Funder

National Heart, Lung, and Blood Institute

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference29 articles.

1. Cardiac-resynchronization therapy with or without an implantable defibrillator in advanced chronic heart failure;Bristow;N Engl J Med,2004

2. Cardiac resynchronization in chronic heart failure;Abraham;N Engl J Med,2002

3. Results of the predictors of response to CRT (PROSPECT) trial;Chung;Circulation,2008

4. Randomized trial of cardiac resynchronization in mildly symptomatic heart failure patients and in asymptomatic patients with left ventricular dysfunction and previous heart failure symptoms;Linde;J Am Coll Cardiol,2008

5. Cardiac resynchronization therapy is more effective in women than in men: the MADIT-CRT (Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy) trial;Arshad;J Am Coll Cardiol,2011

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5. Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review;Heart Failure Reviews;2023-10-20