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 ba... by van Dam, Paul M E L, van Doorn, William P T M, van Gils, Floor, Sevenich, Lotte, Lambriks, Lars, Meex, Steven J R, Cals, Jochen W L, Stassen, Patricia M

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A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis by van Doorn, William P T M, Stassen, Patricia M, Borggreve, Hella F, Schalkwijk, Maaike J, Stoffers, Judith, Bekers, Otto, Meex, Steven J R

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Greater daily glucose variability and lower time in range assessed with continuous glucose monitoring are associated with greater aortic stiffness: The Maastricht Study by Foreman, Yuri D., van Doorn, William P. T. M., Schaper, Nicolaas C., van Greevenbroek, Marleen M. J., van der Kallen, Carla J. H., Henry, Ronald M. A., Koster, Annemarie, Eussen, Simone J. P. M., Wesselius, Anke, Reesink, Koen D., Schram, Miranda T., Dagnelie, Pieter C., Kroon, Abraham A., Brouwers, Martijn C. G. J., Stehouwer, Coen D. A.

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Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study by van Doorn, William P T M, Foreman, Yuri D, Schaper, Nicolaas C, Savelberg, Hans H C M, Koster, Annemarie, van der Kallen, Carla J H, Wesselius, Anke, Schram, Miranda T, Henry, Ronald M A, Dagnelie, Pieter C, de Galan, Bastiaan E, Bekers, Otto, Stehouwer, Coen D A, Meex, Steven J R, Brouwers, Martijn C G J

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Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts by de Kok, Jip W. T. M., van Rosmalen, Frank, Koeze, Jacqueline, Keus, Frederik, van Kuijk, Sander M. J., Castela Forte, José, Schnabel, Ronny M., Driessen, Rob G. H., van Herpt, Thijs T. W., Sels, Jan-Willem E. M., Bergmans, Dennis C. J. J., Lexis, Chris P. H., van Doorn, William P. T. M., Meex, Steven J. R., Xu, Minnan, Borrat, Xavier, Cavill, Rachel, van der Horst, Iwan C. C., van Bussel, Bas C. T.

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Biotin interference in high-sensitivity cardiac troponin T testing: a real-world evaluation in acute cardiac care by Vroemen, Wim H M, van Doorn, William P T M, Kimenai, Dorien M, Wodzig, Will K W H, de Boer, Douwe, Bekers, Otto, Meex, Steven J R

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Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study by van Dam, Paul M E L, Lievens, Sien, Zelis, Noortje, van Doorn, William P T M, Meex, Steven J R, Cals, Jochen W L, Stassen, Patricia M

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Identification and Characterization of Cardiac Troponin T Fragments in Serum of Patients Suffering from Acute Myocardial Infarction by Streng, Alexander S, de Boer, Douwe, van Doorn, William P T M, Bouwman, Freek G, Mariman, Edwin C M, Bekers, Otto, van Dieijen-Visser, Marja P, Wodzig, Will K W H

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The laboratory parameters-derived CoLab score as an indicator of the host response in ICU COVID-19 patients decreases over time: a prospective cohort study by Schoenmakers, Tom, Leers, Mathie P. G., Gorissen, Stefan H. M., van Loo, Inge H. M., van Rosmalen, Frank, Aydeniz, Eda, Schellens, Joep, Driessen, Marielle, Deneer, Ruben, de Venne, Wilhelmine P. H. G. Verboeket-van, Wolffs, Petra F. G., van Mook, Walther N. K. A., van Bussel, Bas C. T.

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Cardiac troponin T degradation in serum is catalysed by human thrombin by Streng, Alexander S., de Boer, Douwe, van Doorn, William P.T.M., Kocken, Jordy M.M., Bekers, Otto, Wodzig, Will K.W.H.

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Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study by van Doorn, William P T M, Helmich, Floris, van Dam, Paul M E L, Jacobs, Leo H J, Stassen, Patricia M, Bekers, Otto, Meex, Steven J R

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High-Sensitivity Cardiac Troponin I and T Kinetics after Non-ST-Segment Elevation Myocardial Infarction by van Doorn, William P T M, Vroemen, Wim H M, Smulders, Martijn W, van Suijlen, Jeroen D, van Cauteren, Yvonne J M, Bekkers, Sebastiaan C A M, Bekers, Otto, Meex, Steven J R

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