Clinical Implications of a Quality Assessment of Transcutaneous CO. - Ole K. Hejlesen; Simon Lebech Cichosz; Steffen Vangsgaard; Mikkel Frank Andresen; Lars Peter Madsen (MIE, 2009)

An Algorithm Enhances Fasting Plasma Glucose based Diabetes Screening Using Simple Patient Information. - Simon Lebech Cichosz; Mette Dencker Johansen; Ole K. Hejlesen (MIE, 2014)

Proof of Concept HTML5 Webapp: Type 2 Diabetes risk stratification. - Simon Lebech Cichosz; Mette Dencker Johansen; Ole K. Hejlesen (MedInfo, 2015)

Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare. - Thomas Kronborg; Lasse Mark; Simon Lebech Cichosz; Pernille Heyckendorff Lilholt; Ole K. Hejlesen (Int. J. Medical Informatics, 2018)

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)

A two-layer probabilistic model to predict COPD exacerbations for patients in telehealth. - Thomas Kronborg; Stine Veje Hangaard; Simon Lebech Cichosz; 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)

A novel approach for predicting acute hospitalizations among elderly recipients of home care? A model development study. - Flemming Witt Udsen; Mads Nibe Stausholm; Ole K. Hejlesen; Simon Lebech Cichosz (Int. J. Medical Informatics, 2022)

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)

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)

Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. - Hadi Mehdizavareh; Arijit Khan 001; Simon Lebech Cichosz (CoRR, 2024)