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  
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OUR UNDERWRITERS

Unrestricted financial support by:

Antimicrobial Resistance Fighter Coalition

Bangalore Bioinnovation Centre

Evotec

JSS University

INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS





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