Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods-Reference-Cited by-同舟云学术

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Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods

Published:2016-07 Issue: Volume:71 Page:57-61
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Richesson Rachel L.,Sun Jimeng,Pathak Jyotishman,Kho Abel N.,Denny Joshua C.

Funder

National Institutes of Health

AHRQ

National Science Foundation

Patient Centered Outcomes Research Institute

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference70 articles.

1. A new initiative on precision medicine;Collins;N Engl J Med,2015

2. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives;Pathak;J Am Med Inform Assoc,2013

3. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data;Denny;Nat Biotechnol,2013

4. eMERGEing progress in genomics-the first seven years;Crawford;Front Genet,2014

5. A polymorphism in HLA-G modifies statin benefit in asthma;Naidoo;Pharmacogenomics J,2015

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