EARLY IDENTIFICATION OF VENTILATOR ASSOCIATED PNEUMONIA USING MACHINE LEARNING TECHNIQUES: A PROSPECTIVE COHORT STUDY

• Unité de recherche: INNOSUISSE
• Numéro de projet: 102.522 IP-ICT
• Titre du projet anglais: EARLY IDENTIFICATION OF VENTILATOR ASSOCIATED PNEUMONIA USING MACHINE LEARNING TECHNIQUES: A PROSPECTIVE COHORT STUDY

Mots-clé (Anglais)

ICT, eHealth

Résumé des résultats (Abstract) (Anglais)

VAP is burdened by increased morbidity and mortality. Due to lack of accurate diagnostic criteria we aim to develop different AI-algorithms using data from mechanical ventilators. VAP detection by accurate AI-algorithm has the potential to reduce morbidity, mortality, antibiotic overuse and costs.