Machine learning predicts hospital-onset COVID-19 infections using patient contact networks

Researchers from the UK recently developed a real-time machine learning framework that uses dynamic patient contact networks to predict hospital-onset COVID-19 infections (HOCIs) at the patient level. They then tested and validated the framework on international multi-site datasets across various epidemic and endemic periods. This study can be found on the medRxiv* preprint server.

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