Clinical Epidemiology
Volume 14, 2022 - Issue
Response to Letter
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]
Benjamin Skov Kaas-Hansen1 Clinical Pharmacology Unit, Zealand University Hospital, Roskilde, Denmark;2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark;3 Section for Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, DenmarkCorrespondence[email protected]
https://orcid.org/0000-0003-1023-0371
https://orcid.org/0000-0003-1023-0371, Cristina Leal Rodríguez2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0002-3133-0630
https://orcid.org/0000-0002-3133-0630, Davide Placido2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0002-8327-8838
https://orcid.org/0000-0002-8327-8838, Hans-Christian Thorsen-Meyer2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark;4 Department of Intensive Care Medicine, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmarkhttps://orcid.org/0000-0001-7002-3089
https://orcid.org/0000-0001-7002-3089, Anna Pors Nielsen2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0001-7903-5051
https://orcid.org/0000-0001-7903-5051, Nicolas Dérian5 Data and Development Support, Region Zealand, Denmarkhttps://orcid.org/0000-0002-4477-023X
https://orcid.org/0000-0002-4477-023X, Søren Brunak2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0003-0316-5866
https://orcid.org/0000-0003-0316-5866 & show all