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Anzahl der Publikationen: 3
Zeitschriftenartikel
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]
Föll, Simon ORCID: https://orcid.org/0000-0002-4364-4282; Lison, Adrian ORCID: https://orcid.org/0000-0002-6822-8437; Maritsch, Martin ORCID: https://orcid.org/0000-0001-9920-0587; Klingberg, Karsten ORCID: https://orcid.org/0000-0002-2502-1428; Lehmann, Vera ORCID: https://orcid.org/0000-0002-6038-809X; Züger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Srivastava, David ORCID: https://orcid.org/0000-0002-4744-0463; Jegerlehner, Sabrina ORCID: https://orcid.org/0000-0002-0868-0608; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Fleisch, Elgar ORCID: https://orcid.org/0000-0002-4842-1117; Exadaktylos, Aristomenis ORCID: https://orcid.org/0000-0002-2705-5170 und Wortmann, Felix ORCID: https://orcid.org/0000-0001-5034-2023
(2022):
A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development.
In: JMIR Formative Research, Bd. 6, Nr. 6, e35717
[PDF, 875kB]
ORCID: https://orcid.org/0000-0002-4364-4282; Lison, Adrian ORCID: https://orcid.org/0000-0002-6822-8437; Maritsch, Martin ORCID: https://orcid.org/0000-0001-9920-0587; Klingberg, Karsten ORCID: https://orcid.org/0000-0002-2502-1428; Lehmann, Vera ORCID: https://orcid.org/0000-0002-6038-809X; Züger, Thomas ORCID: https://orcid.org/0000-0001-6190-7405; Srivastava, David ORCID: https://orcid.org/0000-0002-4744-0463; Jegerlehner, Sabrina ORCID: https://orcid.org/0000-0002-0868-0608; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Fleisch, Elgar ORCID: https://orcid.org/0000-0002-4842-1117; Exadaktylos, Aristomenis ORCID: https://orcid.org/0000-0002-2705-5170 und Wortmann, Felix ORCID: https://orcid.org/0000-0001-5034-2023
(2022):
A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development.
In: JMIR Formative Research, Bd. 6, Nr. 6, e35717
[PDF, 875kB]
Konferenzbeitrag
Koch, Kevin; Maritsch, Martin; Weenen, Eva van; Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Pfäffli, Matthias; Fleisch, Elgar; Weinmann, Wolfgang und Wortmann, Felix
(2023):
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving.
CHI 2023, Hamburg, 23.04.-28.04.2023.
ORCID: https://orcid.org/0000-0001-7856-8729; Pfäffli, Matthias; Fleisch, Elgar; Weinmann, Wolfgang und Wortmann, Felix
(2023):
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving.
CHI 2023, Hamburg, 23.04.-28.04.2023.