Healthcare-associated infections in Italian long-term care facilities: a machine learning analysis of a 12-month cohort

Key Points

• The research aims to explore the burden of healthcare-associated infections (HAIs) and the application of AI in identifying susceptibility profiles in long-term care facilities (LTCFs).
• Analyzed a 12-month cohort of healthcare-associated infections in Italian LTCFs.
• Utilized machine learning techniques for clustering analysis to identify infection susceptibility profiles.
• Confirmed a high burden of healthcare-associated infections in Italian LTCFs.
• Demonstrated that AI-based clustering can identify reproducible susceptibility profiles for HAIs.

Abstract