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 Houlind; Esben Iversen; Baker Nawfal Jawad; Thomas Kallemose; Mads Hornum

doi:10.2147/CLEP.S369602

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 Houlind^*, Esben Iversen, Baker Nawfal Jawad, Thomas Kallemose, Mads Hornum

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift › Letter › peer review

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Originalsprog	Engelsk
Tidsskrift	Clinical Epidemiology
Vol/bind	14
Sider (fra-til)	763-764
ISSN	1179-1349
DOI	https://doi.org/10.2147/CLEP.S369602
Status	Udgivet - 2022

Bibliografisk note

Funding Information:
Morten Baltzer Houlind was supported by a postdoctoral fellowship from The Capital Region’s Research Foundation for Health Research, Denmark (grant-A6882).

Funding Information:
This work was performed as part of the Clinical Academic Group (ACUTE-CAG) for Recovery Capacity funded by the Greater Copenhagen Health Science Partners (GCHSP).

Adgang til dokumentet

10.2147/CLEP.S369602

FulltextForlagets udgivne version, 395 KBLicens: CC BY-NC

Citationsformater

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title = "Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]",

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note = "Funding Information: Morten Baltzer Houlind was supported by a postdoctoral fellowship from The Capital Region{\textquoteright}s Research Foundation for Health Research, Denmark (grant-A6882). Funding Information: This work was performed as part of the Clinical Academic Group (ACUTE-CAG) for Recovery Capacity funded by the Greater Copenhagen Health Science Partners (GCHSP).",

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AU - Iversen, Esben

AU - Jawad, Baker Nawfal

AU - Kallemose, Thomas

AU - Hornum, Mads

N1 - Funding Information: Morten Baltzer Houlind was supported by a postdoctoral fellowship from The Capital Region’s Research Foundation for Health Research, Denmark (grant-A6882). Funding Information: This work was performed as part of the Clinical Academic Group (ACUTE-CAG) for Recovery Capacity funded by the Greater Copenhagen Health Science Partners (GCHSP).

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M3 - Letter

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SN - 1179-1349

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JO - Clinical Epidemiology

JF - Clinical Epidemiology

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