A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients

Conclusions: MLAs can predict future CDI in hospitalized patients using just 6 hours of data. In clinical practice, a machine-learning based tool may support prophylactic measures, earlier diagnosis, and more timely implementation of infection control measures.
Source: Current Awareness Service for Health (CASH) - Category: Consumer Health News Source Type: news