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Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes.
Lehmann, Vera; Zueger, Thomas; Maritsch, Martin; Kraus, Mathias; Albrecht, Caroline; Bérubé, Caterina; Feuerriegel, Stefan; Wortmann, Felix; Kowatsch, Tobias; Styger, Naïma; Lagger, Sophie; Laimer, Markus; Fleisch, Elgar; Stettler, Christoph.
Afiliação
  • 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.
  • Maritsch M; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Kraus M; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Albrecht C; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Bérubé C; School of Business, Economics and Society, Friedrich-Alexander University Erlangen-Nürnberg, Nürnberg, Germany.
  • Feuerriegel S; Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Wortmann F; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Kowatsch T; Institute of AI in Management, LMU Munich, Munich, Germany.
  • Styger N; Institute of Technology Management, University of St. Gallen, St. Gallen, Switzerland.
  • Lagger S; Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.
  • Laimer M; Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
  • Fleisch E; School of Medicine, 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.
Diabetes Obes Metab ; 25(6): 1668-1676, 2023 06.
Article em En | MEDLINE | ID: mdl-36789962
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Hipoglicemia Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Hipoglicemia Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça