Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study

PURPOSE: To determine if patient survival and mechanisms of right ventricular failure in pulmonary hypertension could be predicted by using supervised machine learning of three-dimensional patterns of systolic cardiac motion. MATERIALS AND METHODS: The study was approved by a research ethics committ...

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Detalhes bibliográficos
Publicado no:Radiology
Main Authors: Dawes, Timothy J. W., de Marvao, Antonio, Shi, Wenzhe, Fletcher, Tristan, Watson, Geoffrey M. J., Wharton, John, Rhodes, Christopher J., Howard, Luke S. G. E., Gibbs, J. Simon R., Rueckert, Daniel, Cook, Stuart A., Wilkins, Martin R., O’Regan, Declan P.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2017
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5398374/
https://ncbi.nlm.nih.gov/pubmed/28092203
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2016161315
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