Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus

BACKGROUND: Coronary atherosclerosis can lead to serious cardiovascular events. In type 2 diabetes (T2DM) patients, the effects of clinical factors on coronary atherosclerosis have not been fully elucidated. We used a clustering method to distinguish the population heterogeneity of T2DM and the diff...

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Detalles Bibliográficos
Autores principales: Jiang, Yu, Yang, Zhi-Gang, Wang, Jin, Shi, Rui, Han, Pei-Lun, Qian, Wen-Lei, Yan, Wei-Feng, Li, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706943/
https://www.ncbi.nlm.nih.gov/pubmed/36443722
http://dx.doi.org/10.1186/s12933-022-01700-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706943/
https://www.ncbi.nlm.nih.gov/pubmed/36443722
http://dx.doi.org/10.1186/s12933-022-01700-8

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