Using Anti-Malondialdehyde Modified Peptide Autoantibodies to Import Machine Learning for Predicting Coronary Artery Stenosis in Taiwanese Patients with Coronary Artery Disease

Machine learning (ML) algorithms have been applied to predicting coronary artery disease (CAD). Our purpose was to utilize autoantibody isotypes against four different unmodified and malondialdehyde (MDA)-modified peptides among Taiwanese with CAD and healthy controls (HCs) for CAD prediction. In th...

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Detalles Bibliográficos
Autores principales: Hsu, Yu-Cheng, Tsai, I-Jung, Hsu, Hung, Hsu, Po-Wen, Cheng, Ming-Hui, Huang, Ying-Li, Chen, Jin-Hua, Lei, Meng-Huan, Lin, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229983/
https://www.ncbi.nlm.nih.gov/pubmed/34073646
http://dx.doi.org/10.3390/diagnostics11060961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229983/
https://www.ncbi.nlm.nih.gov/pubmed/34073646
http://dx.doi.org/10.3390/diagnostics11060961

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