Using Machine Learning to Predict Abnormal Carotid Intima-Media Thickness in Type 2 Diabetes

Carotid intima-media thickness (c-IMT) is a reliable risk factor for cardiovascular disease risk in type 2 diabetes (T2D) patients. The present study aimed to compare the effectiveness of different machine learning methods and traditional multiple logistic regression in predicting c-IMT using baseli...

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Detalles Bibliográficos
Autores principales: Wu, Chung-Ze, Huang, Li-Ying, Chen, Fang-Yu, Kuo, Chun-Heng, Yeih, Dong-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252947/
https://www.ncbi.nlm.nih.gov/pubmed/37296685
http://dx.doi.org/10.3390/diagnostics13111834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252947/
https://www.ncbi.nlm.nih.gov/pubmed/37296685
http://dx.doi.org/10.3390/diagnostics13111834

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