Using machine learning to examine drivers of inappropriate outpatient antibiotic prescribing in acute respiratory illnesses

  13 January 2022

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.

Author(s): Laura M. King et al
Effective Surveillance   Smart Innovations  
Back

OUR UNDERWRITERS

Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition

Evotec

JSS University





Technology Database

Display your AMR Technology, Product and Service

Suppliers and Users of Technologies, Products and Services benefit from CAPI.
CAPI (Continuous AMR Partnering Initiative) unites Suppliers and Users worldwide with the aim to add to the curbing of AMR.

Read more and make your own Technology Page >>
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!