Machine learning in the diagnosis of asthma phenotypes during coronavirus disease 2019 pandemic.

Agnieszka Gawlewicz-MroczkaAdam PytlewskiNatalia Celejewska-WójcikAdam ĆmielAnna GieliczMarek SanakLucyna Mastalerz

Published in: Clinical and translational allergy (2022)

ML techniques are becoming a promising tool for discriminating between patients with NERD and NTA. The models are easy to use, safe, and achieve very good results, which is particularly important during the COVID-19 pandemic.

Keyphrases

coronavirus disease
machine learning
chronic obstructive pulmonary disease
lung function
respiratory syndrome coronavirus
artificial intelligence
allergic rhinitis
big data
cystic fibrosis
air pollution