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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author Zabihi, Mohammad Reza
Akhoondian, Mohammad
Norouzkhani, Narges
Mobayen, Mohammadreza
Ghorbani Vajargah, Pooyan
Mollaei, Amirabbas
Karkhah, Samad
author_facet Zabihi, Mohammad Reza
Akhoondian, Mohammad
Norouzkhani, Narges
Mobayen, Mohammadreza
Ghorbani Vajargah, Pooyan
Mollaei, Amirabbas
Karkhah, Samad
author_sort Zabihi, Mohammad Reza
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spelling pubmed-103891882023-08-01 Applications of machine learning for coronary artery bypass grafting: correspondence Zabihi, Mohammad Reza Akhoondian, Mohammad Norouzkhani, Narges Mobayen, Mohammadreza Ghorbani Vajargah, Pooyan Mollaei, Amirabbas Karkhah, Samad Int J Surg Correspondence Lippincott Williams & Wilkins 2023-03-24 /pmc/articles/PMC10389188/ /pubmed/36912569 http://dx.doi.org/10.1097/JS9.0000000000000052 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-sa/4.0/This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0 (https://creativecommons.org/licenses/by-sa/4.0/) , which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0/ (https://creativecommons.org/licenses/by-sa/4.0/)
spellingShingle Correspondence
Zabihi, Mohammad Reza
Akhoondian, Mohammad
Norouzkhani, Narges
Mobayen, Mohammadreza
Ghorbani Vajargah, Pooyan
Mollaei, Amirabbas
Karkhah, Samad
Applications of machine learning for coronary artery bypass grafting: correspondence
title Applications of machine learning for coronary artery bypass grafting: correspondence
title_full Applications of machine learning for coronary artery bypass grafting: correspondence
title_fullStr Applications of machine learning for coronary artery bypass grafting: correspondence
title_full_unstemmed Applications of machine learning for coronary artery bypass grafting: correspondence
title_short Applications of machine learning for coronary artery bypass grafting: correspondence
title_sort applications of machine learning for coronary artery bypass grafting: correspondence
topic Correspondence
url 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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