Replication Data for: Creatinine clearance in critically ill adults: prospective comparison of prediction by intensive care unit physicians and machine learning models

Aims: Validation of the CrCl Predictor, a previously developed machine-learning prediction tool to predict the measured creatinine clearance of critically ill patients on the next ICU day. The second aim was to compare the accuracy of the CrCl Predictor with predictions made ICU physicians .
Scope: the dataset contains a retrospective prediction by the CrCl Predictor based on prospectively collected data, and a prospective prediction by ICU physicians
Nature: Data used for the CrCl Predictor calculation are collected in SQL, and the data on the predictions made by physicians are collected in excell.