Using Machine Learning Techniques to Aid Empirical Antibiotic Therapy Decisions in the Intensive Care Unit of a General Hospital in Greece

Using Machine Learning Techniques to Aid Empirical Antibiotic Therapy Decisions in the Intensive Care Unit of a General Hospital in Greece

Hospital-acquired infections, particularly in the critical care setting, have become increasingly common during the last decade, with Gram-negative bacterial infections presenting the highest incidence among them. Multi-drug-resistant (MDR) Gram-negative infections are associated with high morbidity...

Full description

Bibliographic Details
Main Authors: Georgios Feretzakis, Evangelos Loupelis, Aikaterini Sakagianni, Dimitris Kalles, Maria Martsoukou, Malvina Lada, Nikoletta Skarmoutsou, Constantinos Christopoulos, Konstantinos Valakis, Aikaterini Velentza, Stavroula Petropoulou, Sophia Michelidou, Konstantinos Alexiou
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Antibiotics
Subjects:
antibiotic resistance
antimicrobial resistance
intensive care unit
icu
machine learning
prediction
artificial intelligence
ml techniques
Online Access:https://www.mdpi.com/2079-6382/9/2/50

Internet

https://www.mdpi.com/2079-6382/9/2/50

Similar Items