Clinical Research Directory

Belgian Lung Function Study

Sponsor: KU Leuven

Summary

Currently, it remains unclear how to manage serial lung function measurements in a clinical setting. The investigators aimed to tackle this problem by developing a machine learning (ML) model that can accurately predict population and individual lung function trajectories. These predictions would enable the investigators to identify positive or negative deviations, thereby revealing unexpected disease patterns. A prospective validation is needed that includes data on mortality, hospitalisations, emergency-room visits and patient-reported outcomes. Within this study, the goal is to validate the ML model with the data collected from this observational study.

Official title: Belgian Lung Function Study: Personalised Longitudinal Lung Function Analysis as a Marker of Disease Progression

Key Details

Conditions

Locations (4)