Clinical Research Directory

Oscillometry and Machine Learning Approaches

Sponsor: Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

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.

Official title: Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches

Key Details

Conditions

Interventions

Locations (1)