Clinical Epidemiology
Volume 14, 2022 - Issue
Letter
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
Morten Baltzer Houlind1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark;2 The Capital Region Pharmacy, Herlev, Denmark;3 Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark;4 Emergency Department, Copenhagen University Hospital – Amager & Hvidovre, Hvidovre, DenmarkCorrespondence[email protected]
https://orcid.org/0000-0003-4058-3012View further author information
https://orcid.org/0000-0003-4058-3012View further author information, Esben Iversen1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmarkhttps://orcid.org/0000-0002-7558-9257View further author information
https://orcid.org/0000-0002-7558-9257View further author information, Baker Nawfal Jawad1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmarkhttps://orcid.org/0000-0002-6915-744XView further author information
https://orcid.org/0000-0002-6915-744XView further author information, Thomas Kallemose1 Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmarkhttps://orcid.org/0000-0002-7356-6481View further author information
https://orcid.org/0000-0002-7356-6481View further author information & Mads Hornum5 Department of Nephrology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark;6 Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0002-0123-4007View further author information
https://orcid.org/0000-0002-0123-4007View further author information