Machine learning for the prediction of antimicrobial stewardship intervention in hospitalized patients receiving broad-spectrum agents.

Rachel J BystritskyAlex BeltranAlbert T YoungAndrew WongXiao HuSarah B Doernberg

Published in: Infection control and hospital epidemiology (2020)

Complex models can be developed to predict which patients require a stewardship intervention. However, further work is required to develop models with adequate discriminatory power to be applicable to real-world antimicrobial stewardship practice.

Keyphrases

machine learning
randomized controlled trial
end stage renal disease
ejection fraction
newly diagnosed
healthcare
chronic kidney disease
primary care
prognostic factors
quality improvement