Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes.

MLA

Lehmann, Vera, et al. “Machine Learning for Non-Invasive Sensing of Hypoglycaemia While Driving in People with Diabetes.” Diabetes, Obesity & Metabolism, vol. 25, no. 6, June 2023, pp. 1668–76. EBSCOhost, https://doi.org/10.1111/dom.15021.

APA

Lehmann, V., Zueger, T., Maritsch, M., Kraus, M., Albrecht, C., Bérubé, C., Feuerriegel, S., Wortmann, F., Kowatsch, T., Styger, N., Lagger, S., Laimer, M., Fleisch, E., & Stettler, C. (2023). Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes. Diabetes, Obesity & Metabolism, 25(6), 1668–1676. https://doi.org/10.1111/dom.15021

Chicago

Lehmann, Vera, Thomas Zueger, Martin Maritsch, Mathias Kraus, Caroline Albrecht, Caterina Bérubé, Stefan Feuerriegel, et al. 2023. “Machine Learning for Non-Invasive Sensing of Hypoglycaemia While Driving in People with Diabetes.” Diabetes, Obesity & Metabolism 25 (6): 1668–76. doi:10.1111/dom.15021.