Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]

Detalles Bibliográficos
Autores principales: Houlind, Morten Baltzer, Iversen, Esben, Jawad, Baker Nawfal, Kallemose, Thomas, Hornum, Mads
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190741/
https://www.ncbi.nlm.nih.gov/pubmed/35707499
http://dx.doi.org/10.2147/CLEP.S369602
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author Houlind, Morten Baltzer
Iversen, Esben
Jawad, Baker Nawfal
Kallemose, Thomas
Hornum, Mads
author_facet Houlind, Morten Baltzer
Iversen, Esben
Jawad, Baker Nawfal
Kallemose, Thomas
Hornum, Mads
author_sort Houlind, Morten Baltzer
collection PubMed
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spelling pubmed-91907412022-06-14 Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] Houlind, Morten Baltzer Iversen, Esben Jawad, Baker Nawfal Kallemose, Thomas Hornum, Mads Clin Epidemiol Letter Dove 2022-06-09 /pmc/articles/PMC9190741/ /pubmed/35707499 http://dx.doi.org/10.2147/CLEP.S369602 Text en © 2022 Houlind et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Letter
Houlind, Morten Baltzer
Iversen, Esben
Jawad, Baker Nawfal
Kallemose, Thomas
Hornum, Mads
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title_full Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title_fullStr Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title_full_unstemmed Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title_short Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
title_sort machine learning to identify patients at risk of inappropriate dosing for renal risk medications: a critical comment on kaas-hansen et al [letter]
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190741/
https://www.ncbi.nlm.nih.gov/pubmed/35707499
http://dx.doi.org/10.2147/CLEP.S369602
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