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,1–4 Esben Iversen,1 Baker Nawfal Jawad,1 Thomas Kallemose,1 Mads Hornum5,6 1Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark; 2The Capital Region Pharmacy, Herlev, Denmark; 3Department of Drug Design a...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2022-06-01
|
| Series: | Clinical Epidemiology |
| Online Access: | https://www.dovepress.com/machine-learning-to-identify-patients-at-risk-of-inappropriate-dosing--peer-reviewed-fulltext-article-CLEP |
| _version_ | 1811258207367069696 |
|---|---|
| author | Houlind MB Iversen E Jawad BN Kallemose T Hornum M |
| author_facet | Houlind MB Iversen E Jawad BN Kallemose T Hornum M |
| author_sort | Houlind MB |
| collection | DOAJ |
| description | Morten Baltzer Houlind,1–4 Esben Iversen,1 Baker Nawfal Jawad,1 Thomas Kallemose,1 Mads Hornum5,6 1Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark; 2The Capital Region Pharmacy, Herlev, Denmark; 3Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark; 4Emergency Department, Copenhagen University Hospital – Amager & Hvidovre, Hvidovre, Denmark; 5Department of Nephrology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark; 6Department of Clinical Medicine, University of Copenhagen, Copenhagen, DenmarkCorrespondence: Morten Baltzer Houlind, Tel +45 28838563, Email morten.baltzer.houlind@regionh.dk
View the original paper by Dr Kaas-Hansen and colleagues
A Response to Letter has been published for this article |
| first_indexed | 2024-04-12T18:10:42Z |
| format | Article |
| id | doaj.art-ff8e7075f11e4e4fbfe59408b08389b0 |
| institution | Directory Open Access Journal |
| issn | 1179-1349 |
| language | English |
| last_indexed | 2024-04-12T18:10:42Z |
| publishDate | 2022-06-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Clinical Epidemiology |
| spelling | doaj.art-ff8e7075f11e4e4fbfe59408b08389b02022-12-22T03:21:51ZengDove Medical PressClinical Epidemiology1179-13492022-06-01Volume 1476376475832Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]Houlind MBIversen EJawad BNKallemose THornum MMorten Baltzer Houlind,1–4 Esben Iversen,1 Baker Nawfal Jawad,1 Thomas Kallemose,1 Mads Hornum5,6 1Department of Clinical Research, Copenhagen University Hospital – Amager and Hvidovre, Hvidovre, Denmark; 2The Capital Region Pharmacy, Herlev, Denmark; 3Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark; 4Emergency Department, Copenhagen University Hospital – Amager & Hvidovre, Hvidovre, Denmark; 5Department of Nephrology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark; 6Department of Clinical Medicine, University of Copenhagen, Copenhagen, DenmarkCorrespondence: Morten Baltzer Houlind, Tel +45 28838563, Email morten.baltzer.houlind@regionh.dk View the original paper by Dr Kaas-Hansen and colleagues A Response to Letter has been published for this articlehttps://www.dovepress.com/machine-learning-to-identify-patients-at-risk-of-inappropriate-dosing--peer-reviewed-fulltext-article-CLEP |
| spellingShingle | Houlind MB Iversen E Jawad BN Kallemose T Hornum M Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] Clinical Epidemiology |
| title | Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] |
| title_full | Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] |
| title_fullStr | Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] |
| title_full_unstemmed | Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] |
| title_short | Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] |
| title_sort | machine learning to identify patients at risk of inappropriate dosing for renal risk medications a critical comment on kaas hansen et al letter |
| url | https://www.dovepress.com/machine-learning-to-identify-patients-at-risk-of-inappropriate-dosing--peer-reviewed-fulltext-article-CLEP |
| work_keys_str_mv | AT houlindmb machinelearningtoidentifypatientsatriskofinappropriatedosingforrenalriskmedicationsacriticalcommentonkaashansenetalletter AT iversene machinelearningtoidentifypatientsatriskofinappropriatedosingforrenalriskmedicationsacriticalcommentonkaashansenetalletter AT jawadbn machinelearningtoidentifypatientsatriskofinappropriatedosingforrenalriskmedicationsacriticalcommentonkaashansenetalletter AT kallemoset machinelearningtoidentifypatientsatriskofinappropriatedosingforrenalriskmedicationsacriticalcommentonkaashansenetalletter AT hornumm machinelearningtoidentifypatientsatriskofinappropriatedosingforrenalriskmedicationsacriticalcommentonkaashansenetalletter |