Clinical Epidemiology
Volume 14, 2022 - Issue
Open access
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Original Research
Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction
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/0000-0003-1023-0371View further author information
, https://orcid.org/0000-0003-1023-0371View further author information
Cristina Leal Rodríguez2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0002-3133-0630View further author information
, Davide Placido2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0002-8327-8838View further author information
, 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/0000-0001-7002-3089View further author information
, Anna Pors Nielsen2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmarkhttps://orcid.org/0000-0001-7903-5051View further author information
, Nicolas Dérian5 Data and Development Support, Region Zealand, Sorø, DenmarkView further author information
, Søren Brunak2 NNF Center for Protein Research, University of Copenhagen, Copenhagen, DenmarkView further author information
& Stig Ejdrup Andersen1 Clinical Pharmacology Unit, Zealand University Hospital, Roskilde, DenmarkView further author information
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Pages 213-223
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Published online: 22 Feb 2022
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