Journal: Scientific Reports

Article Title: Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy

doi: 10.1038/s41598-025-26774-8

Figure Lengend Snippet: Models performance for prediction of successful continuous renal replacement therapy weaning: receiver operating characteristic (ROC) curves ( A ) and calibration curves ( B ). Abbreviations: KNN, k-nearest neighbors; LR, logistic regression; MIMIC, Medical Information Mart for Intensive Care; RF, random forest; SVM, support vector machine; XGB, eXtreme gradient boosting.

Article Snippet: The training dataset (Rouen University Hospital) was collected from June 2016 to July 2024 using the EDSaN (Entrepôt de Données de Santé Normand) clinical data warehouse (CDW) and ICU software ICCA© (IntelliSpace Critical Care and Anesthesia©, Koninklijke Philips N.V.) .

Techniques: Plasmid Preparation

Journal: Scientific Reports

Article Title: Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy

doi: 10.1038/s41598-025-26774-8

Figure Lengend Snippet: Confusion matrices of the models with optimized classification thresholds on the Rennes ( A ) and MIMIC ( B ) cohorts. Values in parentheses represent 95% confidence intervals, calculated using normal approximation for cross-validation performance assessment on the training cohort, or using bootstrapping otherwise. Abbreviations: AUROC, area under the receiver operating characteristic curve; KNN, k-nearest neighbors LR, logistic regression; MCC, Matthews correlation coefficient; MIMIC, Medical Information Mart for Intensive Care; RF, random forest; SVM, support vector machine; XGB, eXtreme gradient boosting.

Article Snippet: The training dataset (Rouen University Hospital) was collected from June 2016 to July 2024 using the EDSaN (Entrepôt de Données de Santé Normand) clinical data warehouse (CDW) and ICU software ICCA© (IntelliSpace Critical Care and Anesthesia©, Koninklijke Philips N.V.) .

Techniques: Biomarker Discovery, Plasmid Preparation

Journal: Scientific Reports

Article Title: Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy

doi: 10.1038/s41598-025-26774-8

Figure Lengend Snippet: Study design. t 0 represents the first CRRT weaning attempt, t -1 is the day before, and the observation period ( t -1 to t 0 ) is when the selected features are analyzed by the models for prediction. t 7 marks the evaluation of the primary outcome, defined as CRRT-free survival for at least 7 days. Abbreviations: CRRT, continuous renal replacement therapy; ICU, intensive care unit.

Article Snippet: The training dataset (Rouen University Hospital) was collected from June 2016 to July 2024 using the EDSaN (Entrepôt de Données de Santé Normand) clinical data warehouse (CDW) and ICU software ICCA© (IntelliSpace Critical Care and Anesthesia©, Koninklijke Philips N.V.) .

Techniques: