Actively Recruiting
Oscillometry and Machine Learning Approaches
Led by Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau · Updated on 2026-03-03
50
Participants Needed
1
Research Sites
45 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Oscillometry and Machine Learning Approaches
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age between 18 and 90 years
- Spirometry test results available
- Confirmed clinical diagnosis of COPD, asthma, or interstitial lung disease according to guidelines
You will not qualify if you...
- Presence of an acute respiratory infection
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Hospital de la Santa Creu i Sant Pau
Barcelona, Spain, 08041
Actively Recruiting
Research Team
A
Astrid Crespo, PhD
CONTACT
A
Astrid Crespo-Lessmann, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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