A Diet Management Information and Communication System to Help Chronic Kidney Patients Cope with Diet Restrictions. - Sisse Heiden; Amanda A. Buus; Morten Hasselstrøm Jensen; Ole K. Hejlesen (MedInfo, 2013)

An Information and Communication Technology System to Detect Hypoglycemia in People with Type 1 Diabetes. - Morten Hasselstrøm Jensen; Toke Folke Christensen; Lise Tarnow; Mette Dencker Johansen; Ole Kristian Hejlesen (MedInfo, 2013)

Heuristic evaluation of a telehealth system from the Danish TeleCare North Trial. - Pernille Heyckendorff Lilholt; Morten Hasselstrøm Jensen; Ole K. Hejlesen (Int. J. Medical Informatics, 2015)

A Matlab Tool for Organizing and Analyzing NHANES Data. - Simon Lebech Cichosz; Morten Hasselstrøm Jensen; Thomas Kronborg Larsen; Ole K. Hejlesen (MIE, 2020)

Towards Prediction of Type 1 Diabetes Patients Who Fail to Achieve Glycemic Target. - Morten Hasselstrøm Jensen; Simon Lebech Cichosz; Ole K. Hejlesen; Irl. B. Hirsch; Peter Vestergaard (MIE, 2020)

Penalty weighted glucose prediction models could lead to better clinically usage. - Simon Lebech Cichosz; Thomas Kronborg; Morten Hasselstrøm Jensen; Ole K. Hejlesen (Comput. Biol. Medicine, 2021)

Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model. - Simon Lebech Cichosz; Morten Hasselstrøm Jensen; Ole Kristian Hejlesen (Int. J. Medical Informatics, 2021)

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes. - Pietro Bosoni; Morten Hasselstrøm Jensen; Riccardo Bellazzi; Simon Lebech Cichosz (BIBM, 2024)

Discordance Between Mealtimes Reported by Trial Participants with Type 2 Diabetes and Healthcare Professionals. - Nynne Sophie Holdt-Caspersen; Claus Dethlefsen; Ole K. Hejlesen; Peter Vestergaard; Stine Veje Hangaard; Iben Engelbrecht Giese; Julie Egmose; Morten Hasselstrøm Jensen (MIE, 2024)

Prediction of Poor Glycemic Control in Children with Type 1 Diabetes. - Tanja F. Holm; Morten Hasselstrøm Jensen; Ole K. Hejlesen; Søren Hagstrøm; Mette Madsen; Stine Veje Hangaard (MIE, 2024)

Identifying Patterns in Long Term CGM and Insulin Data - An Explorative Study. - Morten Hasselstrøm Jensen; Thomas Kronborg; Stine Veje Hangaard (MIE, 2024)

Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method. - Jannie T. D. Nørlev; Thomas Kronborg; Ole K. Hejlesen; Morten Hasselstrøm Jensen; Peter Vestergaard; Stine Veje Hangaard (MIE, 2024)

Development of a Basal Insulin Titration System to Support Healthcare Providers in Treatment of People with Type 2 Diabetes: Preliminary Results. - Camilla Heisel Nyholm Thomsen; Stine Veje Hangaard; Thomas Kronborg; Peter Vestergaard; Ole K. Hejlesen; Morten Hasselstrøm Jensen (MIE, 2024)

Intelligent Diabetes Telemonitoring for Patients on Insulin Therapy: A Randomized Controlled Trial Protocol. - Camilla Heisel Nyholm Thomsen; Jannie T. D. Nørlev; Stine Veje Hangaard; Morten Hasselstrøm Jensen; Sika N. S. Kristensen; Tinna B. Aradóttir; Peter Vestergaard; Ole K. Hejlesen; Thomas Kronborg (MIE, 2024)

Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters. - Simon Lebech Cichosz; Morten Hasselstrøm Jensen; Ole K. Hejlesen; Stine Dam Henriksen; Asbjørn Mohr Drewes; Søren Schou Olesen (Comput. Methods Programs Biomed., 2024)

Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data. - Camilla H. N. Thomsen; Thomas Kronborg; Stine Veje Hangaard; Peter Vestergaard; Ole K. Hejlesen; Morten Hasselstrøm Jensen (Int. J. Medical Informatics, 2025)

Developing an AI-Based clinical decision support system for basal insulin titration in type 2 diabetes in primary Care: A Mixed-Methods evaluation using heuristic Analysis, user Feedback, and eye tracking. - Camilla Heisel Nyholm Thomsen; Thomas Kronborg; Stine Veje Hangaard; Peter Vestergaard; Morten Hasselstrøm Jensen (Int. J. Medical Informatics, 2025)