RecruitingNCT07447596
Oscillometry and Machine Learning Approaches
Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
Sponsor
Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
Enrollment
50 participants
Start Date
Oct 15, 2025
Study Type
OBSERVATIONAL
Conditions
Summary
Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.
Eligibility
Min Age: 18 YearsMax Age: 99 Years
Inclusion Criteria3
- years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Exclusion Criteria1
- Acute respiratory infection
Interventions
OTHER1
Compare oscillometry results with spirometryClick to apply
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT07447596