Hemorrhagic risk prediction in coronary artery disease patients based on photoplethysmography and machine learning

Hemorrhagic events are the main focus of attention during antithrombosis therapy in patients with coronary artery disease (CAD). This study aims to investigate the potential of using photoplethysmography (PPG) and machine learning techniques to assess hemorrhagic risk in patients with CAD. A total o...

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Detalles Bibliográficos
Autores principales: He, Zhengling, Zhang, Huajun, Chen, Xianxiang, Shi, Junshan, Bai, Lu, Fang, Zhen, Wang, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649686/
https://www.ncbi.nlm.nih.gov/pubmed/36357443
http://dx.doi.org/10.1038/s41598-022-22719-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649686/
https://www.ncbi.nlm.nih.gov/pubmed/36357443
http://dx.doi.org/10.1038/s41598-022-22719-7

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