Automated abstraction of myocardial perfusion imaging reports using natural language processing-Reference-Cited by-同舟云学术

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Automated abstraction of myocardial perfusion imaging reports using natural language processing

Published:2020-11-05 Issue: Volume: Page:
ISSN:1071-3581
Container-title:Journal of Nuclear Cardiology
language:en
Short-container-title:J. Nucl. Cardiol.

Author:

Zheng Chengyi,Sun Benjamin C.,Wu Yi-Lin,Ferencik Maros,Lee Ming-Sum,Redberg Rita F.,Kawatkar Aniket A.,Musigdilok Visanee V.,Sharp Adam L.

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1007/s12350-020-02401-z.pdf

Reference38 articles.

1. Ladapo JA, Blecker S, Douglas PS. Physician decision making and trends in the use of cardiac stress testing in the United States: An analysis of repeated cross-sectional data. Ann Intern Med. 2014;161:482–90.

2. Hachamovitch R, Berman DS, Shaw LJ, et al. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: Differential stratification for risk of cardiac death and myocardial infarction. Circulation. 1998;97:535–43.

3. Metz LD, Beattie M, Hom R, Redberg RF, Grady D, Fleischmann KE. The prognostic value of normal exercise myocardial perfusion imaging and exercise echocardiography: A meta-analysis. J Am Coll Cardiol. 2007;49:227–37.

4. Redberg RF. Stress testing in the emergency department: Not which test but whether any test should be done. JAMA Intern Med. 2015;175:436.

5. Foy AJ, Liu G, Davidson WR Jr, Sciamanna C, Leslie DL. Comparative effectiveness of diagnostic testing strategies in emergency department patients with chest pain: An analysis of downstream testing, interventions, and outcomes. JAMA Intern Med. 2015;175:428–36.

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