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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].
Kaas-Hansen, Benjamin Skov; Leal Rodríguez, Cristina; Placido, Davide; Thorsen-Meyer, Hans-Christian; Nielsen, Anna Pors; Dérian, Nicolas; Brunak, Søren; Andersen, Stig Ejdrup.
Afiliação
  • Kaas-Hansen BS; Clinical Pharmacology Unit, Zealand University Hospital, Roskilde, Denmark.
  • Leal Rodríguez C; NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Placido D; Section for Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Thorsen-Meyer HC; NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Nielsen AP; NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Dérian N; NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Brunak S; Department of Intensive Care Medicine, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.
  • Andersen SE; NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Clin Epidemiol ; 14: 765-766, 2022.
Article em En | MEDLINE | ID: mdl-35707498
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article