Integrating Coronary Plaque Information from CCTA by ML Predicts MACE in Patients with Suspected CAD

Conventional prognostic risk analysis in patients undergoing noninvasive imaging is based upon a limited selection of clinical and imaging findings, whereas machine learning (ML) algorithms include a greater number and complexity of variables. Therefore, this paper aimed to explore the predictive va...

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Detalles Bibliográficos
Autores principales: Dou, Guanhua, Shan, Dongkai, Wang, Kai, Wang, Xi, Liu, Zinuan, Zhang, Wei, Li, Dandan, He, Bai, Jing, Jing, Wang, Sicong, Chen, Yundai, Yang, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025955/
https://www.ncbi.nlm.nih.gov/pubmed/35455712
http://dx.doi.org/10.3390/jpm12040596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025955/
https://www.ncbi.nlm.nih.gov/pubmed/35455712
http://dx.doi.org/10.3390/jpm12040596

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