Prediction of ciprofloxacin resistance in hospitalized patients using machine learning

  29 March 2023

Ciprofloxacin is a widely used antibiotic that has lost efficiency due to extensive resistance. We developed machine learning (ML) models that predict the probability of ciprofloxacin resistance in hospitalized patients.

This study develops ML models to predict ciprofloxacin resistance in hospitalized patients. The models achieve high predictive ability, are well calibrated, have substantial net-benefit across a wide range of conditions, and rely on predictors consistent with the literature. This is a further step on the way to inclusion of ML decision support systems into clinical practice.

Author(s): Igor Mintz, Michal Chowers & Uri Obolski
Smart Innovations  


Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition

Bangalore Bioinnovation Centre


JSS University


Global Ambassador Network

Welcome at the AMR Insights Ambassador Network!

The AMR Insights Ambassador Network is a growing, distinctive group of professionals who stand out for their commitment, willingness to cooperate and open attitude to combat Antimicrobial resistance (AMR).

More information and free-of-charge registration
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!