Predictive modeling of structured electronic health records for adverse drug event detection-Reference-Cited by-同舟云学术

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Predictive modeling of structured electronic health records for adverse drug event detection

Published:2015-11-25 Issue:S4 Volume:15 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Zhao Jing,Henriksson Aron,Asker Lars,Boström Henrik

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/1472-6947-15-S4-S1.pdf

Reference39 articles.

1. Classen DC, Resar R, Griffin F, Federico F, Frankel T, Kimmel N, Whittington JC, Frankel A, Seger A, James BC: 'Global trigger tool' shows that adverse events in hospitals may be ten times greater than previously measured. Health Affairs. 2011, 30 (4): 581-589.

2. Hakkarainen KM, Hedna K, Petzold M, Hägg S: Percentage of patients with preventable adverse drug reactions and preventability of adverse drug reactions-a meta-analysis. PloS One. 2012, 7 (3): 33236-

3. Beijer H, De Blaey C: Hospitalisations caused by adverse drug reactions (adr): a meta-analysis of observational studies. Pharmacy World and Science. 2002, 24 (2): 46-54.

4. Nebeker JR, Hoffman JM, Weir CR, Bennett CL, Hurdle JF: High rates of adverse drug events in a highly computerized hospital. Archives of internal medicine. 2005, 165 (10): 1111-1116.

5. Organization WH, et al: The importance of pharmacovigilance. 2002

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