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Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE(−/−) mice
BACKGROUND: This study specifically focused on anatomical MRI characterization of the low shear stress-induced atherosclerotic plaque in mice. We used machine learning algorithms to analyze multiple correlation factors of plaque to generate predictive models and to find the predictive factor for vul...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259854/ https://www.ncbi.nlm.nih.gov/pubmed/28155719 http://dx.doi.org/10.1186/s12938-016-0265-z |