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Prediction of Revascularization by Coronary CT Angiography using a Machine Learning Ischemia Risk Score

OBJECTIVES: The Machine Learning Ischemia Risk Score (ML-IRS) is a machine-learning based algorithm designed to identify hemodynamically significant coronary disease using quantitative coronary computed tomography angiography (CCTA). The purpose of this study was to examine whether the ML-IRS can pr...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Kwan, Alan C., McElhinney, Priscilla A., Tamarappoo, Balaji K., Cadet, Sebastien, Hurtado, Cecilia, Miller, Robert J.H., Han, Donghee, Otaki, Yuka, Eisenberg, Evann, Ebinger, Joseph E., Slomka, Piotr J., Cheng, Victor Y., Berman, Daniel S., Dey, Damini
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7882015/
https://ncbi.nlm.nih.gov/pubmed/32880697
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07142-8
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