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Zeitschriftenartikel
Weenen, Eva van 
ORCID: https://orcid.org/0000-0001-5500-2108; Banholzer, Nicolas ORCID: https://orcid.org/0000-0003-0138-6120; Föll, Simon ORCID: https://orcid.org/0000-0002-4364-4282; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Fontana, Federico Y. ORCID: https://orcid.org/0000-0002-0679-6869; Skroce, Kristina ORCID: https://orcid.org/0000-0003-0379-5235; Hayes, Charlotte; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Lehmann, Vera ORCID: https://orcid.org/0000-0002-6038-809X; Scott, Sam N. ORCID: https://orcid.org/0000-0003-2342-9865; Wortmann, Felix und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(September 2023):
Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season.
In: Diabetes, Obesity and Metabolism, Bd. 25, Nr. 9: S. 2616-2625
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-5500-2108; Banholzer, Nicolas ORCID: https://orcid.org/0000-0003-0138-6120; Föll, Simon ORCID: https://orcid.org/0000-0002-4364-4282; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Fontana, Federico Y. ORCID: https://orcid.org/0000-0002-0679-6869; Skroce, Kristina ORCID: https://orcid.org/0000-0003-0379-5235; Hayes, Charlotte; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Lehmann, Vera ORCID: https://orcid.org/0000-0002-6038-809X; Scott, Sam N. ORCID: https://orcid.org/0000-0003-2342-9865; Wortmann, Felix und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(September 2023):
Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season.
In: Diabetes, Obesity and Metabolism, Bd. 25, Nr. 9: S. 2616-2625
[PDF, 1MB]
Schallmoser, Simon ORCID: https://orcid.org/0000-0003-4076-0584; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Saar-Tsechansky, Maytal ORCID: https://orcid.org/0000-0002-2400-3762; Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059 und Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729
(2023):
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
In: Journal of Medical Internet Research, Bd. 25, e42181
ORCID: https://orcid.org/0000-0003-4076-0584; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Saar-Tsechansky, Maytal ORCID: https://orcid.org/0000-0002-2400-3762; Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059 und Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729
(2023):
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
In: Journal of Medical Internet Research, Bd. 25, e42181
Lehmann, Vera; Zueger, Thomas; Maritsch, Martin ORCID: https://orcid.org/0000-0001-9920-0587; Kraus, Mathias; Albrecht, Caroline; Bérubé, Caterina; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Wortmann, Felix; Kowatsch, Tobias; Styger, Naïma; Lagger, Sophie; Laimer, Markus; Fleisch, Elgar und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(2023):
Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes.
In: Diabetes, Obesity and Metabolism, Bd. 25, Nr. 6: S. 1668-1676
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-9920-0587; Kraus, Mathias; Albrecht, Caroline; Bérubé, Caterina; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Wortmann, Felix; Kowatsch, Tobias; Styger, Naïma; Lagger, Sophie; Laimer, Markus; Fleisch, Elgar und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(2023):
Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes.
In: Diabetes, Obesity and Metabolism, Bd. 25, Nr. 6: S. 1668-1676
[PDF, 1MB]
Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Schallmoser, Simon; Kraus, Mathias; Saar-Tsechansky, Maytal; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729 und Stettler, Christoph
(2022):
Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes.
In: Diabetes Technology & Therapeutics, Bd. 24, Nr. 11: S. 842-847
ORCID: https://orcid.org/0000-0001-6190-7405; Schallmoser, Simon; Kraus, Mathias; Saar-Tsechansky, Maytal; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729 und Stettler, Christoph
(2022):
Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes.
In: Diabetes Technology & Therapeutics, Bd. 24, Nr. 11: S. 842-847