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Reply: metrics to assess machine learning models

Detalles Bibliográficos
Autores principales: Rajkomar, Alvin, Dai, Andrew M., Sun, Mimi, Hardt, Michaela, Chen, Kai, Rough, Kathryn, Dean, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550213/
https://www.ncbi.nlm.nih.gov/pubmed/31304336
http://dx.doi.org/10.1038/s41746-018-0063-z
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author Rajkomar, Alvin
Dai, Andrew M.
Sun, Mimi
Hardt, Michaela
Chen, Kai
Rough, Kathryn
Dean, Jeffrey
author_facet Rajkomar, Alvin
Dai, Andrew M.
Sun, Mimi
Hardt, Michaela
Chen, Kai
Rough, Kathryn
Dean, Jeffrey
author_sort Rajkomar, Alvin
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spelling pubmed-65502132019-07-12 Reply: metrics to assess machine learning models Rajkomar, Alvin Dai, Andrew M. Sun, Mimi Hardt, Michaela Chen, Kai Rough, Kathryn Dean, Jeffrey NPJ Digit Med Correspondence Nature Publishing Group UK 2018-10-10 /pmc/articles/PMC6550213/ /pubmed/31304336 http://dx.doi.org/10.1038/s41746-018-0063-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Correspondence
Rajkomar, Alvin
Dai, Andrew M.
Sun, Mimi
Hardt, Michaela
Chen, Kai
Rough, Kathryn
Dean, Jeffrey
Reply: metrics to assess machine learning models
title Reply: metrics to assess machine learning models
title_full Reply: metrics to assess machine learning models
title_fullStr Reply: metrics to assess machine learning models
title_full_unstemmed Reply: metrics to assess machine learning models
title_short Reply: metrics to assess machine learning models
title_sort reply: metrics to assess machine learning models
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550213/
https://www.ncbi.nlm.nih.gov/pubmed/31304336
http://dx.doi.org/10.1038/s41746-018-0063-z
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