Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?

Detalles Bibliográficos
Autores principales: Ménard, Timothé, Koneswarakantha, Björn, Rolo, Donato, Barmaz, Yves, Popko, Leszek, Bowling, Rich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048863/
https://www.ncbi.nlm.nih.gov/pubmed/31834590
http://dx.doi.org/10.1007/s40264-019-00894-3
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author Ménard, Timothé
Koneswarakantha, Björn
Rolo, Donato
Barmaz, Yves
Popko, Leszek
Bowling, Rich
author_facet Ménard, Timothé
Koneswarakantha, Björn
Rolo, Donato
Barmaz, Yves
Popko, Leszek
Bowling, Rich
author_sort Ménard, Timothé
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spelling pubmed-70488632020-03-13 Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials? Ménard, Timothé Koneswarakantha, Björn Rolo, Donato Barmaz, Yves Popko, Leszek Bowling, Rich Drug Saf Research Letter Springer International Publishing 2019-12-13 2020 /pmc/articles/PMC7048863/ /pubmed/31834590 http://dx.doi.org/10.1007/s40264-019-00894-3 Text en © The Author(s) 2019 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research Letter
Ménard, Timothé
Koneswarakantha, Björn
Rolo, Donato
Barmaz, Yves
Popko, Leszek
Bowling, Rich
Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title_full Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title_fullStr Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title_full_unstemmed Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title_short Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?
title_sort follow-up on the use of machine learning in clinical quality assurance: can we detect adverse event under-reporting in oncology trials?
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048863/
https://www.ncbi.nlm.nih.gov/pubmed/31834590
http://dx.doi.org/10.1007/s40264-019-00894-3
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