Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study-Reference-Cited by-同舟云学术

Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study

Published:2019-12 Issue:343 Volume:103 Page:169-179
ISSN:1286-0115
Container-title:Morphologie
language:en
Short-container-title:Morphologie

Author:

Lyon A.,Mincholé A.,Bueno-Orovio A.,Rodriguez B.

Funder

British Heart Foundation (BHF) Centre of Research Excellence

BHF Intermediate Basic Science Research Fellowship

Wellcome Trust Senior Research Fellowship in Basic Biomedical Sciences

European Union's Horizon

Publisher

Elsevier BV

Subject

Anatomy

Reference19 articles.

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2. Efficacy of implantable cardioverter-defibrillators for the prevention of sudden death in patients with hypertrophic cardiomyopathy;Maron;N Engl J Med,2000

3. Magnitude of left ventricular hypertrophy and risk of sudden death in hypertrophic cardiomyopathy;Spirito;N Engl J Med,2000

4. Relation between myocyte disarray and outcome in hypertrophic cardiomyopathy;Varnava;Am J Cardiol,2001

5. Occurrence and frequency of arrhythmias in hypertrophic cardiomyopathy in relation to delayed enhancement on cardiovascular magnetic resonance;Adabag;J Am Coll Cardiol,2008

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