Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection

Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is uncertain. The clinical course of spontaneous coro...

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Detalles Bibliográficos
Autores principales: Krittanawong, Chayakrit, Virk, Hafeez Ul Hassan, Kumar, Anirudh, Aydar, Mehmet, Wang, Zhen, Stewart, Matthew P., Halperin, Jonathan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076284/
https://www.ncbi.nlm.nih.gov/pubmed/33903608
http://dx.doi.org/10.1038/s41598-021-88172-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076284/
https://www.ncbi.nlm.nih.gov/pubmed/33903608
http://dx.doi.org/10.1038/s41598-021-88172-0

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