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]

Research output: Contribution to journalComment/debateResearch

Documents

  • Fulltext

    Final published version, 393 KB, PDF document

Original languageEnglish
JournalClinical Epidemiology
Volume14
Pages (from-to)765-766
Number of pages2
ISSN1179-1349
DOIs
Publication statusPublished - 2022

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 311165012