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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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| Publicado no: | Eur Radiol |
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| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| 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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