2 papers
q-bio.QM2026
Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
Amalie Koch Andersen, Hadi Mehdizavareh, Arijit Khan +8
Objective: ML-based clinical risk prediction models are increasingly used to support decision-making in healthcare. While class-imbalance correction techniques are commonly applied…
q-bio.OT2026
Personalized Forecasting of Glycemic Control in Type 1 and 2 Diabetes Using Foundational AI and Machine Learning Models
Simon Lebech Cichosz, Stine Hangaard, Thomas Kronborg +2
Background: Accurate week-ahead forecasts of continuous glucose monitoring (CGM) derived metrics could enable proactive diabetes management, but relative performance of modern tabu…