Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Corrigendum
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645311/
https://www.ncbi.nlm.nih.gov/pubmed/37963206
http://dx.doi.org/10.1093/ejcts/ezad370
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spelling pubmed-106453112023-11-14 Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database Eur J Cardiothorac Surg Corrigendum Oxford University Press 2023-11-14 /pmc/articles/PMC10645311/ /pubmed/37963206 http://dx.doi.org/10.1093/ejcts/ezad370 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Corrigendum
Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title_full Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title_fullStr Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title_full_unstemmed Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title_short Corrigendum to: Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
title_sort corrigendum to: comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database
topic Corrigendum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645311/
https://www.ncbi.nlm.nih.gov/pubmed/37963206
http://dx.doi.org/10.1093/ejcts/ezad370

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