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Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024279/ https://www.ncbi.nlm.nih.gov/pubmed/36933121 http://dx.doi.org/10.1007/s43678-023-00480-8 |
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author | Harish, Vinyas Grewal, Keerat Mamdani, Muhammad Thiruganasambandamoorthy, Venkatesh |
author_facet | Harish, Vinyas Grewal, Keerat Mamdani, Muhammad Thiruganasambandamoorthy, Venkatesh |
author_sort | Harish, Vinyas |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10024279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100242792023-03-21 Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models Harish, Vinyas Grewal, Keerat Mamdani, Muhammad Thiruganasambandamoorthy, Venkatesh CJEM Commentary Springer International Publishing 2023-03-18 2023 /pmc/articles/PMC10024279/ /pubmed/36933121 http://dx.doi.org/10.1007/s43678-023-00480-8 Text en © The Author(s), under exclusive licence to Canadian Association of Emergency Physicians (CAEP)/ Association Canadienne de Médecine d'Urgence (ACMU) 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Commentary Harish, Vinyas Grewal, Keerat Mamdani, Muhammad Thiruganasambandamoorthy, Venkatesh Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title | Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title_full | Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title_fullStr | Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title_full_unstemmed | Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title_short | Teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
title_sort | teaching old tools new tricks—preparing emergency medicine for the impact of machine learning-based risk prediction models |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024279/ https://www.ncbi.nlm.nih.gov/pubmed/36933121 http://dx.doi.org/10.1007/s43678-023-00480-8 |
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