Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes?: Preliminary Results from a Systematic Review

Camilla Heisel Nyholm Thomsen; Stine Hangaard; Thomas Kronborg; Peter Vestergaard; Ole Hejlesen; Morten Hasselstrøm Jensen

doi:10.3384/ecp187034

Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review

Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen

Research output: Contribution to book/anthology/report/conference proceeding › Conference abstract in proceeding › Research › peer-review

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Abstract

The present systematic review aims to provide an overview and categorization of dose guidance methods that support basal insulin titration for people with type 2 diabetes. At the time of writing, quality assessment of the included articles is ongoing.

Original language	English
Title of host publication	Proceedings of the 18th Scandinavian Conference on Health Informatics
Publisher	Linköping University Electronic Press
Publication date	Aug 2022
Pages	206-207
ISBN (Electronic)	978-91-7929-344-4
DOIs	https://doi.org/10.3384/ecp187034
Publication status	Published - Aug 2022
Event	The Scandinavian Conference on Health Informatics (SHI) 2022 - Tromsø, Norway Duration: 22 Aug 2022 → 24 Aug 2022

Conference

Conference	The Scandinavian Conference on Health Informatics (SHI) 2022
Country/Territory	Norway
City	Tromsø
Period	22/08/2022 → 24/08/2022

Series	Scandinavian conference on health informatics
ISSN	1650-3686

Keywords

Type 2 Diabetes
dose guidance
basal insulin
systematic review
insulin titration
digital healthcare

Access to Document

10.3384/ecp187034Licence: CC BY 4.0

Open Access abstractFinal published version, 297 KBLicence: CC BY 4.0

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Cite this

Thomsen, C. H. N., Hangaard, S., Kronborg, T., Vestergaard, P., Hejlesen, O., & Jensen, M. H. (2022). Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review. In Proceedings of the 18th Scandinavian Conference on Health Informatics (pp. 206-207). Linköping University Electronic Press. https://doi.org/10.3384/ecp187034

Thomsen, Camilla Heisel Nyholm ; Hangaard, Stine ; Kronborg, Thomas et al. / Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review. Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping University Electronic Press, 2022. pp. 206-207 (Scandinavian conference on health informatics).

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keywords = "Type 2 Diabetes, dose guidance, basal insulin, systematic review, insulin titration, digital healthcare",

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Thomsen, CHN , Hangaard, S , Kronborg, T , Vestergaard, P , Hejlesen, O & Jensen, MH 2022, Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review. in Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping University Electronic Press, Scandinavian conference on health informatics, pp. 206-207, The Scandinavian Conference on Health Informatics (SHI) 2022, Tromsø, Norway, 22/08/2022. https://doi.org/10.3384/ecp187034

Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review. / Thomsen, Camilla Heisel Nyholm ; Hangaard, Stine ; Kronborg, Thomas et al.
Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping University Electronic Press, 2022. p. 206-207 (Scandinavian conference on health informatics).

Research output: Contribution to book/anthology/report/conference proceeding › Conference abstract in proceeding › Research › peer-review

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Thomsen CHN , Hangaard S , Kronborg T , Vestergaard P , Hejlesen O , Jensen MH. Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review. In Proceedings of the 18th Scandinavian Conference on Health Informatics. Linköping University Electronic Press. 2022. p. 206-207. (Scandinavian conference on health informatics). doi: 10.3384/ecp187034