Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

Mindy K Ross Jinsung YoonAuke van der SchaarMihaela van der Schaar

Published in: Annals of the American Thoracic Society (2019)

Advanced statistical machine learning approaches can be powerful tools for discovery of phenotypes based on treatment response and can aid in asthma control prediction in complex medical conditions such as asthma.

Keyphrases

chronic obstructive pulmonary disease
lung function
machine learning
allergic rhinitis
healthcare
small molecule
cystic fibrosis
artificial intelligence
emergency department
deep learning
big data
electronic health record