Hospital Acquired Infections

We have developed a scoring system to predict HAI that was derived from Logistic Regression (LR) and validated by Artificial Neural Networks (ANN) simultaneously. This allows infection prevention specialists to efficiently identify patients at high risk for HAI during hospitalization Hospital-acquired infections (HAI) are associated with increased attributable morbidity, mortality, prolonged hospitalization, and economic costs so a reliable prediction model for HAI has great clinical relevance.