Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes-Reference-Cited by-同舟云学术

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes

Published:2016-04-13 Issue:5 Volume:23 Page:628-636
ISSN:1069-6563
Container-title:Academic Emergency Medicine
language:en
Short-container-title:Acad Emerg Med

Author:

Doan Son¹,Maehara Cleo K.¹,Chaparro Juan D.¹,Lu Sisi²,Liu Ruiling³,Graham Amanda⁴,Berry Erika⁵,Hsu Chun-Nan¹,Kanegaye John T.⁵⁶,Lloyd David D.⁴⁷,Ohno-Machado Lucila¹,Burns Jane C.⁵⁶,Tremoulet Adriana H.⁵⁶,

Affiliation:

1. Department of Biomedical Informatics; University of California; San Diego CA

2. Department of Computer Science; University of Pittsburgh; Pittsburgh PA

3. The University of Texas Health Science Center at Houston; Houston TX

4. Children's Healthcare of Atlanta; Atlanta GA

5. Department of Pediatrics; University of California at San Diego; La Jolla CA

6. Rady Children's Hospital San Diego; San Diego CA

7. Emory University School of Medicine; Atlanta GA

Funder

Patient-Centered Outcomes Research Institute

National Institutes of Health

Publisher

Wiley

Subject

Emergency Medicine,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/acem.12925/fullpdf

Reference35 articles.

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2. The treatment of Kawasaki syndrome with intravenous gamma globulin;Newburger;N Engl J Med,1986

3. A single intravenous infusion of gamma globulin as compared with four infusions in the treatment of acute Kawasaki syndrome;Newburger;N Engl J Med,1991

4. Delayed diagnosis by physicians contributes to the development of coronary artery aneurysms in children with Kawasaki syndrome;Wilder;Pediatr Infect Dis J,2007

5. Delayed diagnosis of Kawasaki syndrome: an analysis of the problem;Anderson;Pediatrics,2005

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