학술논문
Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses
Document Type
Article
Author
Source
Infection Control & Hospital Epidemiology; May 2023, Vol. 44 Issue: 5 p786-790, 5p
Subject
Language
ISSN
0899823X; 15596834
Abstract
AbstractUsing 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.