Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance

OBJECTIVES: Prediabetes is a major epidemic and is associated with adverse cardio-cerebrovascular outcomes. Early identification of patients who will develop rapid progression of atherosclerosis could be beneficial for improved risk stratification. In this paper, we investigate important factors imp...

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Detalles Bibliográficos
Autores principales: Hu, Xia, Reaven, Peter D., Saremi, Aramesh, Liu, Ninghao, Abbasi, Mohammad Ali, Liu, Huan, Migrino, Raymond Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011483/
https://www.ncbi.nlm.nih.gov/pubmed/27642290
http://dx.doi.org/10.1186/s13637-016-0049-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011483/
https://www.ncbi.nlm.nih.gov/pubmed/27642290
http://dx.doi.org/10.1186/s13637-016-0049-6

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