Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

Journal of the American College of Cardiology

Volumn 68, Issue 21, 2016, Pages 2287-2295

  Narula, Sukrit ^a   Shameer, Khader ^a   Salem Omar, Alaa Mabrouk ^a,b   Dudley, Joel T ^a   Sengupta, Partho P ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b NATIONAL RESEARCH CENTRE   (Egypt)

Author keywords

cardiomyopathy; decision support systems; left ventricular hypertrophy; speckle tracking echocardiography

Indexed keywords

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATHLETE; AUTOMATION; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FEMALE; FLOW RATE; HEART HEMODYNAMICS; HEART HYPERTROPHY; HEART LEFT VENTRICLE; HEART LEFT VENTRICLE WALL; HUMAN; HYPERTROPHIC CARDIOMYOPATHY; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MUSCLE STRAIN; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SENSITIVITY AND SPECIFICITY; SPECKLE TRACKING ECHOCARDIOGRAPHY; SUPPORT VECTOR MACHINE; TWO DIMENSIONAL ECHOCARDIOGRAPHY; VALIDATION PROCESS; CARDIOMYOPATHY, HYPERTROPHIC; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; ECHOCARDIOGRAPHY; HEART LEFT VENTRICLE FUNCTION; HEART VENTRICLE; MATHEMATICAL COMPUTING; MIDDLE AGED; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

ADULT; ALGORITHMS; ATHLETES; CARDIOMYOPATHY, HYPERTROPHIC; ECHOCARDIOGRAPHY; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; VENTRICULAR FUNCTION, LEFT;

EID: 84997693769     PISSN: 07351097     EISSN: 15583597     Source Type: Journal    
DOI: 10.1016/j.jacc.2016.08.062     Document Type: Article

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