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Applications of machine learning for coronary artery bypass grafting: correspondence

Detalles Bibliográficos
Autores principales:	Zabihi, Mohammad Reza, Akhoondian, Mohammad, Norouzkhani, Narges, Mobayen, Mohammadreza, Ghorbani Vajargah, Pooyan, Mollaei, Amirabbas, Karkhah, Samad
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Lippincott Williams & Wilkins 2023
Materias:	Correspondence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389188/ https://www.ncbi.nlm.nih.gov/pubmed/36912569 http://dx.doi.org/10.1097/JS9.0000000000000052

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