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Lehmann, Vera 
ORCID: https://orcid.org/0000-0002-6038-809X; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Maritsch, Martin ORCID: https://orcid.org/0000-0001-9920-0587; Notter, Michael ORCID: https://orcid.org/0009-0002-8404-570X; Schallmoser, Simon ORCID: https://orcid.org/0000-0003-4076-0584; Bérubé, Caterina ORCID: https://orcid.org/0000-0001-5247-8485; Albrecht, Caroline ORCID: https://orcid.org/0009-0001-3669-0192; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Fleisch, Elgar ORCID: https://orcid.org/0000-0002-4842-1117; Kowatsch, Tobias ORCID: https://orcid.org/0000-0001-5939-4145; Lagger, Sophie ORCID: https://orcid.org/0009-0004-5313-7518; Laimer, Markus ORCID: https://orcid.org/0000-0002-7622-0822; Wortmann, Felix ORCID: https://orcid.org/0000-0001-5034-2023 und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(2024):
Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
In: NEJM AI, Bd. 1, Nr. 3
[PDF, 524kB]
ORCID: https://orcid.org/0000-0002-6038-809X; Zueger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Maritsch, Martin ORCID: https://orcid.org/0000-0001-9920-0587; Notter, Michael ORCID: https://orcid.org/0009-0002-8404-570X; Schallmoser, Simon ORCID: https://orcid.org/0000-0003-4076-0584; Bérubé, Caterina ORCID: https://orcid.org/0000-0001-5247-8485; Albrecht, Caroline ORCID: https://orcid.org/0009-0001-3669-0192; Kraus, Mathias ORCID: https://orcid.org/0000-0002-2021-2743; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Fleisch, Elgar ORCID: https://orcid.org/0000-0002-4842-1117; Kowatsch, Tobias ORCID: https://orcid.org/0000-0001-5939-4145; Lagger, Sophie ORCID: https://orcid.org/0009-0004-5313-7518; Laimer, Markus ORCID: https://orcid.org/0000-0002-7622-0822; Wortmann, Felix ORCID: https://orcid.org/0000-0001-5034-2023 und Stettler, Christoph ORCID: https://orcid.org/0000-0003-1691-6059
(2024):
Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
In: NEJM AI, Bd. 1, Nr. 3
[PDF, 524kB]
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]