icu electronic patient record intellispace critical care and anaesthesia Search Results


icu  (Philips Healthcare)
86
Philips Healthcare icu
Icu, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/icu+electronic+patient+record+intellispace+critical+care+and+anaesthesia/icu/pm38453453-62-29-36
Average 86 stars, based on 1 article reviews
icu - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier
icu software icca  (Philips Healthcare)
86
Philips Healthcare icu software icca
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.
Icu Software Icca, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/icu+electronic+patient+record+intellispace+critical+care+and+anaesthesia/icca+icu+software/pmc12663152-197-28-37
Average 86 stars, based on 1 article reviews
icu software icca - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier
intellispace critical care  (Philips Healthcare)
86
Philips Healthcare intellispace critical care
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.
Intellispace Critical Care, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/icu+electronic+patient+record+intellispace+critical+care+and+anaesthesia/care+critical+intellispace/pm41723386-94-11-17
Average 86 stars, based on 1 article reviews
intellispace critical care - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier

Image Search Results


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.

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

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.

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

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.

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: