Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]
Research output: Contribution to journal › Letter › Research › peer-review
Documents
- Fulltext
Final published version, 395 KB, PDF document
Original language | English |
---|---|
Journal | Clinical Epidemiology |
Volume | 14 |
Pages (from-to) | 763-764 |
ISSN | 1179-1349 |
DOIs | |
Publication status | Published - 2022 |
Bibliographical 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).
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available
ID: 326668980