TE
Tim Ewoldt
2 records found
1
Authored
Predicting Beta-Lactam Target Non-Attainment in ICU Patients at Treatment Initiation
Development and External Validation of Three Novel (Machine Learning) Models
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 opt
...
Contributed
In this paper, we want to create a prediction model for target attainment and a scoring system based on these models. The Random Forest model, Logistic Regression model, and Naive Bayes model are employed to achieve this. Classification trees and predictors from the random forest
...