Oscillometry and Machine Learning Approaches
ConditionAsthma COPD
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-99
SponsorFundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
About this trial
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 criteria
This trial accepts healthy volunteersQualifiers
18 - 90 years
Spirometry available
Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Disqualifiers
Acute respiratory infection
Trial population
Patients with asthma or COPD
Trial design
Design model
Other
Time perspective
Retrospective
Treatments tested in this trial
1
Other interventionCompare oscillometry results with spirometryClick to apply
Treatment groups
50 Participants
are divided into 1 treatment groupGroup A: Oscillometry1 intervention
Trial outcomes
Primary outcomes
1
Oscillometric breathing pattern
Analyze results obtained
Time frame
1 yearSecondary outcomes
1
Respiratory pattern spirometry
Forced expiratory volume in 1 second
Time frame
1 yearSponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov