Comparison of conventional scoring systems to machine learning models for the prediction of major adverse cardiovascular events in patients undergoing coronary computed tomography angiography

BACKGROUND: The study aims to compare the prognostic performance of conventional scoring systems to a machine learning (ML) model on coronary computed tomography angiography (CCTA) to discriminate between the patients with and without major adverse cardiovascular events (MACEs) and to find the most...

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Detalles Bibliográficos
Autores principales: Ghorashi, Seyyed Mojtaba, Fazeli, Amir, Hedayat, Behnam, Mokhtari, Hamid, Jalali, Arash, Ahmadi, Pooria, Chalian, Hamid, Bragazzi, Nicola Luigi, Shirani, Shapour, Omidi, Negar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643500/
https://www.ncbi.nlm.nih.gov/pubmed/36386332
http://dx.doi.org/10.3389/fcvm.2022.994483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643500/
https://www.ncbi.nlm.nih.gov/pubmed/36386332
http://dx.doi.org/10.3389/fcvm.2022.994483

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