Using breathing tests and computer learning to identify asthma and COPD patterns
Looks at how well computer models predict asthma or COPD from breathing tests.
Plain-language title generated from the registry record
Registry title: Oscillometry and Machine Learning Approaches
Key facts
- Where
- Barcelona, SpainSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 99 years old?
Source: NCT07447596, who can take part
Where in Spain
- Hospital de la Santa Creu i Sant PauBarcelona, SpainTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
- Trial code
- NCT07447596
- Record updated
- 3 March 2026
- Original description
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.Read full original descriptionShow less
Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
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.
Inclusion: 18 - 90 years; Spirometry available; Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines.
Exclusion: Acute respiratory infection.