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...

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Detalles Bibliográficos
Autores principales: Li, Bing, Jiao, Yun, Fu, Cong, Xie, Bo, Ma, Genshan, Teng, Gaojun, Yao, Yuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
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

Internet

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

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