Electronic medical record phenotyping using the anchor and learn framework
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Title
Electronic medical record phenotyping using the anchor and learn framework
Authors
Keywords
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Journal
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Volume 23, Issue 4, Pages 731-740
Publisher
Oxford University Press (OUP)
Online
2016-04-24
DOI
10.1093/jamia/ocw011
References
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Related references
Note: Only part of the references are listed.- Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory: Table 1
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- Variants Near FOXE1 Are Associated with Hypothyroidism and Other Thyroid Conditions: Using Electronic Medical Records for Genome- and Phenome-wide Studies
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- The Emerging Role of Electronic Medical Records in Pharmacogenomics
- (2011) R A Wilke et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Genetic variants associated with the white blood cell count in 13,923 subjects in the eMERGE Network
- (2011) David R. Crosslin et al. HUMAN GENETICS
- Data from clinical notes: a perspective on the tension between structure and flexible documentation
- (2011) S. T. Rosenbloom et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study
- (2011) Abel N Kho et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Incomplete Care — On the Trail of Flaws in the System
- (2011) Tejal K. Gandhi et al. NEW ENGLAND JOURNAL OF MEDICINE
- Identification of Genomic Predictors of Atrioventricular Conduction
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- A Genome-Wide Association Study of Red Blood Cell Traits Using the Electronic Medical Record
- (2010) Iftikhar J. Kullo et al. PLoS One
- Grand challenges in clinical decision support
- (2007) Dean F. Sittig et al. JOURNAL OF BIOMEDICAL INFORMATICS
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