A strategy for high-dimensional multivariable analysis classifies childhood asthma phenotypes from genetic, immunological, and environmental factors.

Norbert KrautenbacherNicolai FlachAndreas BöckKristina LaubhahnMichael LaimighoferFabian J TheisDonna P AnkerstChristiane Fuchs Bianca Schaub

Published in: Allergy (2019)

Our combination of several data modalities using a novel strategy improved classification of childhood asthma phenotypes but requires validation in external populations. The generic approach is applicable to other multilevel data-based risk prediction settings, which typically suffer from incomplete data.

Keyphrases

electronic health record
chronic obstructive pulmonary disease
big data
lung function
machine learning
deep learning
gene expression
allergic rhinitis
data analysis
early life
cystic fibrosis
young adults
childhood cancer