Simon Lebech Cichosz

14 papers Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models. CoRR Amalie Koch Andersen, Hadi Mehdizavareh, Arijit Khan, Tobias Becher, Simone Britsch, Markward Britsch, Morten Bøttcher, Simon Winther, Palle Duun Rohde, Morten Hasselstrøm Jensen, Simon Lebech Cichosz
2024	—	`conf`	Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes. BIBM Pietro Bosoni, Morten Hasselstrøm Jensen, Riccardo Bellazzi, Simon Lebech Cichosz
2024	J	`jnl`	Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation. CoRR Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz
2024	J	`jnl`	Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters. Comput. Methods Programs Biomed. Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Ole K. Hejlesen, Stine Dam Henriksen, Asbjørn Mohr Drewes, Søren Schou Olesen
2022	J	`jnl`	A novel approach for predicting acute hospitalizations among elderly recipients of home care? A model development study. Int. J. Medical Informatics Flemming Witt Udsen, Mads Nibe Stausholm, Ole K. Hejlesen, Simon Lebech Cichosz
2021	J	`jnl`	A two-layer probabilistic model to predict COPD exacerbations for patients in telehealth. Comput. Biol. Medicine Thomas Kronborg, Stine Veje Hangaard, Simon Lebech Cichosz, Ole K. Hejlesen
2021	J	`jnl`	Penalty weighted glucose prediction models could lead to better clinically usage. Comput. Biol. Medicine Simon Lebech Cichosz, Thomas Kronborg, Morten Hasselstrøm Jensen, Ole K. Hejlesen
2021	J	`jnl`	Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model. Int. J. Medical Informatics Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Ole Kristian Hejlesen
2020	—	`conf`	A Matlab Tool for Organizing and Analyzing NHANES Data. MIE Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Thomas Kronborg Larsen, Ole K. Hejlesen
2020	—	`conf`	Towards Prediction of Type 1 Diabetes Patients Who Fail to Achieve Glycemic Target. MIE Morten Hasselstrøm Jensen, Simon Lebech Cichosz, Ole K. Hejlesen, Irl. B. Hirsch, Peter Vestergaard
2018	J	`jnl`	Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare. Int. J. Medical Informatics Thomas Kronborg, Lasse Mark, Simon Lebech Cichosz, Pernille Heyckendorff Lilholt, Ole K. Hejlesen
2015	—	`conf`	Proof of Concept HTML5 Webapp: Type 2 Diabetes risk stratification. MedInfo Simon Lebech Cichosz, Mette Dencker Johansen, Ole K. Hejlesen
2014	—	`conf`	An Algorithm Enhances Fasting Plasma Glucose based Diabetes Screening Using Simple Patient Information. MIE Simon Lebech Cichosz, Mette Dencker Johansen, Ole K. Hejlesen
2009	—	`conf`	Clinical Implications of a Quality Assessment of Transcutaneous CO. MIE Ole K. Hejlesen, Simon Lebech Cichosz, Steffen Vangsgaard, Mikkel Frank Andresen, Lars Peter Madsen