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]
Clin Epidemiol
.
2022 Jun 9:14:765-766.
doi: 10.2147/CLEP.S375668.
eCollection 2022.
Authors
Benjamin Skov Kaas-Hansen
1
2
3
,
Cristina Leal Rodríguez
2
,
Davide Placido
2
,
Hans-Christian Thorsen-Meyer
2
4
,
Anna Pors Nielsen
2
,
Nicolas Dérian
5
,
Søren Brunak
2
,
Stig Ejdrup Andersen
1
Affiliations
1
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, Denmark.
4
Department of Intensive Care Medicine, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
5
Data and Development Support, Region Zealand, Denmark.
PMID:
35707498
PMCID:
PMC9190742
DOI:
10.2147/CLEP.S375668
No abstract available