Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data
The model was able to predict those who did not achieve HbA1c target with promising performance, potentially enabling early identification of people with type 2 diabetes who require additional support to reach glycemic control.
Authors
- Morten Hasselstrøm Jensen (ORCID: https://orcid.org/0000-0002-6649-8644)
- Ole Hejlesen (ORCID: https://orcid.org/0000-0003-3578-8750)
- Thomas Kronborg (ORCID: https://orcid.org/0000-0002-2693-0527)
- Peter Vestergaard (ORCID: https://orcid.org/0000-0002-9046-2967)
- Stine Hangaard (ORCID: https://orcid.org/0000-0003-0395-3563)
- Carsten Wridt Stoltenberg (ORCID: https://orcid.org/0000-0003-2779-5635)
Institutions
- Steno Diabetes Centers (DK)
- Novo Nordisk (Denmark) (DK)
- Aalborg University (DK)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1177/19322968241280096
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovationsfonden
- Novo Nordisk