Unraveling racial disparities in asthma emergency department visits using electronic healthcare records and machine learning-Reference-Cited by-同舟云学术

Unraveling racial disparities in asthma emergency department visits using electronic healthcare records and machine learning

Published:2020-11-09 Issue:1 Volume:59 Page:79-93
ISSN:0277-0903
Container-title:Journal of Asthma
language:en
Short-container-title:Journal of Asthma

Author:

Adejare Adeboye A.¹,Gautam Yadu²,Madzia Juliana²,Mersha Tesfaye B.²^ORCID

Affiliation:

1. Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH, USA

2. Division of Asthma Research, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA

Funder

National Institutes of Health

Publisher

Informa UK Limited

Subject

Pulmonary and Respiratory Medicine,Immunology and Allergy,Pediatrics, Perinatology and Child Health

Link

https://www.tandfonline.com/doi/pdf/10.1080/02770903.2020.1838539

Reference52 articles.

1. CDC.gov. 2019. Centers for Disease Control and Prevention. Most recent asthma state or territory data. https://www.cdc.gov/asthma/most_recent_data_states.htm [last accessed 5 July 2020].

2. CDC.gov. 2018. Centers for Disease Control and Prevention. Asthma data are for the U.S. 2018. https://www.cdc.gov/nchs/fastats/asthma.htm [last accessed 13 June 2020].

3. The Economic Burden of Asthma in the United States, 2008–2013

4. The Projected Economic and Health Burden of Uncontrolled Asthma in the United States

5. NIH. National Institutes of Health. National Heart, Lung, and Blood Institute. National Asthma Education and Prevention Program. Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma. August. 2007 NIH Publication No. 07-4051, http://www.nhlbi.nih.gov/guidelines/asthma/index.htm [last accessed 6 October 2020].

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