Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes.

Rita AmaralJean BousquetAna M PereiraLuís M AraújoAna Sá-SousaTiago JacintoRute AlmeidaLuís DelgadoJoao A Fonseca

Published in: Allergy (2018)

Novel severe phenotypes of participants with co-occurrence of ocular, nasal and bronchial symptoms, and exacerbation-prone were identified. The tree algorithm showed the importance of the ocular symptoms in the expression of allergic diseases phenotypes.

Keyphrases

poor prognosis
chronic obstructive pulmonary disease
machine learning
allergic rhinitis
sleep quality
deep learning
early onset
binding protein
atopic dermatitis
physical activity
depressive symptoms
optical coherence tomography
respiratory tract
mechanical ventilation