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dc.contributor.authorNgo, Phuong
dc.contributor.authorTayefi, Maryam
dc.contributor.authorNordsletta, Anne Torill
dc.contributor.authorGodtliebsen, Fred
dc.date.accessioned2020-04-06T09:07:46Z
dc.date.available2020-04-06T09:07:46Z
dc.date.issued2019
dc.description.abstractPhysical activities have a significant impact on blood glucose homeostasis of patients with type 1 diabetes. Regular physical exercise provides many proven health benefits and is recommended as part of a healthy lifestyle. However, one of the main side effects of physical activities is hypoglycemia (low blood glucose). Fear of hypoglycemia generally leads to the patients not participating in physical activities. This paper shows a proof of concept that machine learning can be used to create a personalized food recommendation system for patients with type 1 diabetes. Machine learning algorithms were designed to improve glycemic control and reduce the overcompensation of carbohydrate. First, a personalized model based on feedforward neural networks is developed to predict the blood glucose outcome during and after physical activities. Based on the personalized model and reinforcement learning, optimal food intakes will be recommended to the patient. Simulation results show that the proposed methodology has successfully maintained the blood glucose in the healthy range on a type 1 diabetes simulator during physical activities.en_US
dc.identifier.citationNgo P, Tayefi M, Nordsletta AT, Godtliebsen F. Food recommendation using machine learning for physical activities in patients with type 1 diabetes. Linköping Electronic Conference Proceedings. 2019(161):45-49en_US
dc.identifier.cristinIDFRIDAID 1739766
dc.identifier.issn1650-3686
dc.identifier.issn1650-3740
dc.identifier.urihttps://hdl.handle.net/10037/18016
dc.language.isoengen_US
dc.publisherLiU: Linköping University Electronic Pressen_US
dc.relation.journalLinköping Electronic Conference Proceedings
dc.relation.urihttp://www.ep.liu.se/ecp/161/008/ecp19161008.pdf
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410en_US
dc.titleFood recommendation using machine learning for physical activities in patients with type 1 diabetesen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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