Status:
UNKNOWN
Personalized Digital Health and Artificial Intelligence in Childhood Asthma
Lead Sponsor:
Isabelle Ruchonnet-Métrailler
Conditions:
Asthma in Children
Eligibility:
All Genders
2-16 years
Brief Summary
Asthma is a chronic inflammatory disease of the airways that causes recurrent episodes of wheezing, breathing difficulties and coughing. The prevalence of asthma is 8% in school-aged children and 30% ...
Detailed Description
Aim: Develop an artificial intelligence based algorithm for unsupervised diagnostic and classification of childhood asthma exacerbation. Methodology: A Longitudinal prospective monocentric observati...
Eligibility Criteria
Inclusion
- Patients with clinical diagnosis of acute asthma exacerbations
- age \> 2 years and \< 16 years
- information and written consent of a legal representative
Exclusion
- Chronic lung diseases other than asthma (cystic fibrosis, bronchopulmonary Dysplasia),
- Congenital heart disease
- Refusal of consent.
Key Trial Info
Start Date :
March 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
April 1 2022
Estimated Enrollment :
290 Patients enrolled
Trial Details
Trial ID
NCT04528342
Start Date
March 1 2020
End Date
April 1 2022
Last Update
February 4 2021
Active Locations (2)
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1
Geneva University Hospital
Geneva, Switzerland, 1205
2
Geneva University Hospital
Geneva, Switzerland, 1205