Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy

Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool would be well suited for learning and recalling multidimens...

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Bibliographic Details
Published in:	Circulation. Cardiovascular imaging Vol. 9; no. 6
Main Authors:	Sengupta, Partho P, Huang, Yen-Min, Bansal, Manish, Ashrafi, Ali, Fisher, Matt, Shameer, Khader, Gall, Walt, Dudley, Joel T
Format:	Journal Article
Language:	English
Published:	United States 01.06.2016
Subjects:	Aged Algorithms Area Under Curve Biopsy Cardiomyopathy, Restrictive - classification Cardiomyopathy, Restrictive - diagnostic imaging Cardiomyopathy, Restrictive - physiopathology Case-Control Studies Decision Support Techniques Diagnosis, Differential Echocardiography, Doppler - methods Feasibility Studies Female Humans Machine Learning Male Middle Aged Myocardium - pathology Pericarditis, Constrictive - classification Pericarditis, Constrictive - diagnostic imaging Pericarditis, Constrictive - physiopathology Pilot Projects Predictive Value of Tests Reproducibility of Results ROC Curve Stroke Volume Ventricular Function, Left precision medicine cardiovascular imaging big data cognitive tools machine learning phenomics speckle tracking echocardiography
ISSN:	1942-0080, 1942-0080
Online Access:	Get more information
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