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Open Access
Peer-reviewed
Research Article
Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study
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William P. T. M. van Doorn ,
Contributed equally to this work with: William P. T. M. van Doorn, Yuri D. Foreman
Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Yuri D. Foreman ,
Contributed equally to this work with: William P. T. M. van Doorn, Yuri D. Foreman
Roles Formal analysis, Methodology, Project administration, Writing – original draft, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Nicolaas C. Schaper,
Roles Data curation, Supervision, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
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Hans H. C. M. Savelberg,
Roles Supervision, Writing – review & editing
Affiliation Department of Human Biology and Movement Science, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
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Annemarie Koster,
Roles Formal analysis, Methodology, Writing – review & editing
Affiliations CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands, Department of Social Medicine, Maastricht University, Maastricht, The Netherlands
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Carla J. H. van der Kallen,
Roles Formal analysis, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Anke Wesselius,
Roles Supervision, Writing – review & editing
Affiliation Department of Complex Genetics and Epidemiology, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
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Miranda T. Schram,
Roles Formal analysis, Supervision, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands, Heart and Vascular Centre, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Ronald M. A. Henry,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands, Heart and Vascular Centre, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Pieter C. Dagnelie,
Roles Supervision, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Bastiaan E. de Galan,
Roles Data curation, Supervision, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands, Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands
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Otto Bekers,
Roles Conceptualization, Supervision, Writing – original draft, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Coen D. A. Stehouwer,
Roles Conceptualization, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Steven J. R. Meex ,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing
¶‡ These authors also contributed equally to this work.
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Department of Clinical Chemistry, Central Diagnostic Laboratory, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Martijn C. G. J. Brouwers
Roles Conceptualization, Formal analysis, Methodology, Resources, Software, Supervision, Writing – original draft, Writing – review & editing
* E-mail: mcgj.brouwers@mumc.nl
¶‡ These authors also contributed equally to this work.
Affiliations CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands, Division of Endocrinology and Metabolic Disease, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study
- William P. T. M. van Doorn,
- Yuri D. Foreman,
- Nicolaas C. Schaper,
- Hans H. C. M. Savelberg,
- Annemarie Koster,
- Carla J. H. van der Kallen,
- Anke Wesselius,
- Miranda T. Schram,
- Ronald M. A. Henry,
- Pieter C. Dagnelie
- Published: June 24, 2021
- https://doi.org/10.1371/journal.pone.0253125