Development of childhood asthma prediction models using machine learning approaches-Reference-Cited by-同舟云学术

Development of childhood asthma prediction models using machine learning approaches

Published:2021-11 Issue:9 Volume:11 Page:
ISSN:2045-7022
Container-title:Clinical and Translational Allergy
language:en
Short-container-title:Clinical and Translational Allergy

Author:

Kothalawala Dilini M.¹²^ORCID,Murray Clare S.³^ORCID,Simpson Angela³^ORCID,Custovic Adnan⁴^ORCID,Tapper William J.¹^ORCID,Arshad S. Hasan²⁵⁶^ORCID,Holloway John W.¹²^ORCID,Rezwan Faisal I.¹⁷^ORCID,

Affiliation:

1. Human Development and Health Faculty of Medicine University of Southampton Southampton UK

2. NIHR Southampton Biomedical Research Centre University Hospital Southampton Southampton UK

3. Division of Infection, Immunity, and Respiratory Medicine School of Biological Sciences University of Manchester Manchester University Hospital NHS Foundation Trust Manchester Academic Health Science Centre Manchester UK

4. National Heart and Lung Institute Imperial College of Science, Technology, and Medicine London UK

5. The David Hide Asthma and Allergy Research Centre St. Mary's Hospital Isle of Wight UK

6. Clinical and Experimental Sciences Faculty of Medicine University of Southampton Southampton UK

7. Department of Computer Science Aberystwyth University Aberystwyth UK

Funder

Medical Research Council

Publisher

Wiley

Subject

Immunology and Allergy,Immunology,Pulmonary and Respiratory Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/clt2.12076

Reference40 articles.

1. Asthma Endotyping and Biomarkers in Childhood Asthma

2. After asthma: redefining airways diseases

3. Asthma: Differential Diagnosis and Comorbidities

4. Factors related to under‐diagnosis and undertreatment of childhood asthma in metropolitan France;Isabella Annesi‐Maesano CS;Multidiscip Respir Med,2012

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