Predicting Beta-Lactam Target Non-Attainment in ICU Patients at Treatment Initiation: Development and External Validation of Three Novel (Machine Learning) Models

• Asıl Yazarlar: André Wieringa (Yazar), Tim M. J. Ewoldt (Yazar), Ravish N. Gangapersad (Yazar), Matthias Gijsen (Yazar), Nestor Parolya (Yazar), Chantal J. A. R. Kats (Yazar), Isabel Spriet (Yazar), Henrik Endeman (Yazar), Jasper J. Haringman (Yazar), Reinier M. van Hest (Yazar), Birgit C. P. Koch (Yazar), Alan Abdulla (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: MDPI AG, 2023-11-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

In the intensive care unit (ICU), infection-related mortality is high. Although adequate antibiotic treatment is essential in infections, beta-lactam target non-attainment occurs in up to 45% of ICU patients, which is associated with a lower likelihood of clinical success. To optimize antibiotic tre...