Abstract 14398: The Application of Machine Learning Tools in an Extensively Phenotyped Cohort of Patients With Dilated Cardiomyopathy Provides Novel Insights Into Disease Pathobiology and Prognosis

Upasana Tayal,Job A. J. Verdonschot,Mark R. Hazebroek,Simon Newsome,Bouke P Adriaans,Sebastian Bekkers,Ankur Gulati,Chee Jian Pua,Brian P. Halliday,Amrit Lota,Nicola Whiffin,Lina Kanapeckaite,Resham Baruah,Julian W.E. Jarman,Paul J.R. Barton,James S. Ware,Dudley J. Pennell,Jackie Donovan,Michael P. Frenneaux,John G.F. Cleland,Stuart A. Cook,Stephane Heymans,Rahul C. Deo,Sanjay K. Prasad

Abstract 14398: The Application of Machine Learning Tools in an Extensively Phenotyped Cohort of Patients With Dilated Cardiomyopathy Provides Novel Insights Into Disease Pathobiology and Prognosis

2019

Introduction: Traditional approaches to classification of dilated cardiomyopathy (DCM) mask disease heterogeneity for aetiology and progression. Hypothesis: The application of machine learning tool...

Keywords:

Etiology
Cardiomyopathy
Dilated cardiomyopathy
Machine learning
Cohort
Disease
Medicine
Artificial intelligence

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