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William P T M van Doorn

Showing results (1-10 of 16) with videos related to

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The Journal of Applied Laboratory Medicine|November 5, 2024
Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction ModelsRemy J H Martens, William P T M van Doorn, Mathie P G Leers, et al.
Biochemical and Biophysical Research Communications|November 7, 2016
Cardiac troponin T degradation in serum is catalysed by human thrombinAlexander S Streng, Douwe de Boer, William P T M van Doorn, et al.
Plos One|January 19, 2021
A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsisWilliam P T M van Doorn, Patricia M Stassen, Hella F Borggreve, et al.
Annals of Medicine|December 8, 2023
Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective studyPaul M E L van Dam, Sien Lievens, Noortje Zelis, et al.
The Journal of Applied Laboratory Medicine|December 15, 2023
Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter StudyWilliam P T M van Doorn, Floris Helmich, Paul M E L van Dam, et al.
Advances in Experimental Medicine and Biology|May 7, 2021
Cardiac Troponin T: The Impact of Posttranslational Modifications on Analytical Immunoreactivity in Blood up to the Excretion in UrineDouwe de Boer, Alexander S Streng, William P T M van Doorn, et al.
PLOS Digital Health|June 30, 2025
Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetesHelene Bei Thomsen, Livie Yumeng Li, Anders Aasted Isaksen, et al.
Nature Communications|December 1, 2025
Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trialPaul M E L van Dam, William P T M van Doorn, Lotte Sevenich, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|January 23, 2024
Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency departmentPaul M E L van Dam, William P T M van Doorn, Floor van Gils, et al.
Clinical Chemistry|December 13, 2016
Identification and Characterization of Cardiac Troponin T Fragments in Serum of Patients Suffering from Acute Myocardial InfarctionAlexander S Streng, Douwe de Boer, William P T M van Doorn, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
The Journal of Applied Laboratory Medicine|November 5, 2024
Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction ModelsRemy J H Martens, William P T M van Doorn, Mathie P G Leers, et al.
Biochemical and Biophysical Research Communications|November 7, 2016
Cardiac troponin T degradation in serum is catalysed by human thrombinAlexander S Streng, Douwe de Boer, William P T M van Doorn, et al.
Plos One|January 19, 2021
A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsisWilliam P T M van Doorn, Patricia M Stassen, Hella F Borggreve, et al.
Annals of Medicine|December 8, 2023
Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective studyPaul M E L van Dam, Sien Lievens, Noortje Zelis, et al.
The Journal of Applied Laboratory Medicine|December 15, 2023
Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter StudyWilliam P T M van Doorn, Floris Helmich, Paul M E L van Dam, et al.
Advances in Experimental Medicine and Biology|May 7, 2021
Cardiac Troponin T: The Impact of Posttranslational Modifications on Analytical Immunoreactivity in Blood up to the Excretion in UrineDouwe de Boer, Alexander S Streng, William P T M van Doorn, et al.
PLOS Digital Health|June 30, 2025
Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetesHelene Bei Thomsen, Livie Yumeng Li, Anders Aasted Isaksen, et al.
Nature Communications|December 1, 2025
Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trialPaul M E L van Dam, William P T M van Doorn, Lotte Sevenich, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|January 23, 2024
Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency departmentPaul M E L van Dam, William P T M van Doorn, Floor van Gils, et al.
Clinical Chemistry|December 13, 2016
Identification and Characterization of Cardiac Troponin T Fragments in Serum of Patients Suffering from Acute Myocardial InfarctionAlexander S Streng, Douwe de Boer, William P T M van Doorn, et al.
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