Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning-Reference-Cited by-同舟云学术

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

Published:2018-01 Issue:1 Volume:15 Page:49-58
ISSN:2329-6933
Container-title:Annals of the American Thoracic Society
language:en
Short-container-title:Annals ATS

Author:

Ross Mindy K.¹^ORCID,Yoon Jinsung²^ORCID,van der Schaar Auke³,van der Schaar Mihaela²⁴^ORCID

Affiliation:

1. Department of Pediatrics, Division of Pediatric Pulmonology and Sleep Medicine, and

2. Department of Electrical Engineering, University of California–Los Angeles, Los Angeles, California

3. Stratagem Technologies, London, United Kingdom; and

4. Oxford-Man Institute, University of Oxford, Oxford, United Kingdom

Publisher

American Thoracic Society

Subject

Pulmonary and Respiratory Medicine

Link

https://www.atsjournals.org/doi/pdf/10.1513/AnnalsATS.201702-101OC

Reference59 articles.

1. Functions of T cells in asthma: more than just TH2 cells

2. The other side of asthma: Steroid-refractory disease in the absence of TH2-mediated inflammation

3. Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma–Summary Report 2007

4. Characterization of within-subject responses to fluticasone and montelukast in childhood asthma

5. Individualized therapy for persistent asthma in young children

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