Your browser doesn't support javascript.
loading
The potential for leveraging machine learning to filter medication alerts.
Liu, Siru; Kawamoto, Kensaku; Del Fiol, Guilherme; Weir, Charlene; Malone, Daniel C; Reese, Thomas J; Morgan, Keaton; ElHalta, David; Abdelrahman, Samir.
Affiliation
  • Liu S; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Kawamoto K; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Del Fiol G; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Weir C; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Malone DC; Department of Pharmacotherapy, Skaggs College of Pharmacy, University of Utah, Salt Lake City, Utah, USA.
  • Reese TJ; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Morgan K; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • ElHalta D; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
  • Abdelrahman S; Pharmacy Services, University of Utah, Salt Lake City, Utah, USA.
J Am Med Inform Assoc ; 29(5): 891-899, 2022 04 13.
Article in En | MEDLINE | ID: mdl-34990507
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / Medical Order Entry Systems Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Decision Support Systems, Clinical / Medical Order Entry Systems Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Med Inform Assoc Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido