Using electronic health records to drive discovery in disease genomics.
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The Human Phenotype Ontology: Semantic Unification of Common and Rare DiseaseSHRINE: enabling nationally scalable multi-site disease studiesCardiovascular epidemiology in a changing world--challenges to investigators and the National Heart, Lung, and Blood InstituteBiobanking and translation of human genetics and genomics for infectious diseasesCancer pharmacogenomics, challenges in implementation, and patient-focused perspectivesBiobanks and personalized medicineGenetics and outcomes after traumatic brain injury (TBI): what do we know about pediatric TBI?Linking a population biobank with national health registries-the estonian experienceAn autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disordersEase of adoption of clinical natural language processing software: An evaluation of five systems.Privacy in the Genomic EraMining electronic health records: towards better research applications and clinical careTranslational bioinformatics in the era of real-time biomedical, health care and wellness data streamsToward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sourcesAn eMERGE Clinical Center at Partners Personalized MedicineAn integrated, ontology-driven approach to constructing observational databases for researchA Modular Architecture for Electronic Health Record-Driven PhenotypingExtracting research-quality phenotypes from electronic health records to support precision medicineSize matters: how population size influences genotype-phenotype association studies in anonymized dataBiobanks and electronic medical records: enabling cost-effective researchThe pattern of name tokens in narrative clinical text and a comparison of five systems for redacting themUse of the i2b2 research query tool to conduct a matched case-control clinical research study: advantages, disadvantages and methodological considerationsBirth month affects lifetime disease risk: a phenome-wide methodReusing electronic patient data for dental clinical research: a review of current status.Using electronic dental record data for research: a data-mapping study.Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical dataCommunity-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis.Comedications alter drug-induced liver injury reporting frequency: Data mining in the WHO VigiBase™.Identification of Nonresponse to Treatment Using Narrative Data in an Electronic Health Record Inflammatory Bowel Disease Cohort.Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.Opportunities and challenges in leveraging electronic health record data in oncology.Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach.Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project BiobankEvaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.The electronic health record for translational research.Collection of clinical and epidemiological data for genetic linkage and association studies.Utility-preserving transaction data anonymization with low information loss.Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records.Design patterns for the development of electronic health record-driven phenotype extraction algorithms.The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects
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Using electronic health records to drive discovery in disease genomics.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on 18 May 2011
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Using electronic health records to drive discovery in disease genomics.
@en
Using electronic health records to drive discovery in disease genomics.
@nl
type
label
Using electronic health records to drive discovery in disease genomics.
@en
Using electronic health records to drive discovery in disease genomics.
@nl
prefLabel
Using electronic health records to drive discovery in disease genomics.
@en
Using electronic health records to drive discovery in disease genomics.
@nl
P2860
P356
P1476
Using electronic health records to drive discovery in disease genomics.
@en
P2860
P2888
P304
P356
10.1038/NRG2999
P50
P577
2011-05-18T00:00:00Z