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Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses.
- Source :
-
Infection control and hospital epidemiology [Infect Control Hosp Epidemiol] 2023 May; Vol. 44 (5), pp. 786-790. Date of Electronic Publication: 2022 Jan 10. - Publication Year :
- 2023
-
Abstract
- Using a machine-learning model, we examined drivers of antibiotic prescribing for antibiotic-inappropriate acute respiratory illnesses in a large US claims data set. Antibiotics were prescribed in 11% of the 42 million visits in our sample. The model identified outpatient setting type, patient age mix, and state as top drivers of prescribing.
Details
- Language :
- English
- ISSN :
- 1559-6834
- Volume :
- 44
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Infection control and hospital epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 35001867
- Full Text :
- https://doi.org/10.1017/ice.2021.476