Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes.
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| Title: | Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes. |
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| Authors: | Lehmann V; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Zueger T; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland., Maritsch M; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland., Kraus M; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.; School of Business, Economics and Society, Friedrich-Alexander University Erlangen-Nürnberg, Nürnberg, Germany., Albrecht C; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Bérubé C; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland., Feuerriegel S; Institute of AI in Management, LMU Munich, Munich, Germany., Wortmann F; Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland., Kowatsch T; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.; Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.; School of Medicine, University of St. Gallen, St. Gallen, Switzerland., Styger N; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Lagger S; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Laimer M; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland., Fleisch E; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.; Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland., Stettler C; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. |
| Source: | Diabetes, obesity & metabolism [Diabetes Obes Metab] 2023 Jun; Vol. 25 (6), pp. 1668-1676. Date of Electronic Publication: 2023 Mar 06. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100883645 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1463-1326 (Electronic) Linking ISSN: 14628902 NLM ISO Abbreviation: Diabetes Obes Metab Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1463-1326 |
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| DOI: | 10.1111/dom.15021 |
