Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
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Chapter 11: Genome-wide association studiesBuilding a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn projectLeveraging the electronic health record to implement genomic medicineAn autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disordersIdentifiability in biobanks: models, measures, and mitigation strategiesCoreference resolution: a review of general methodologies and applications in the clinical domainClinical Correlates of Autosomal Chromosomal Abnormalities in an Electronic Medical Record-Linked Genome-Wide Association Study: A Case Series.Clinical Correlates of Autosomal Chromosomal Abnormalities in an Electronic Medical Record-Linked Genome-Wide Association Study: A Case SeriesA method and knowledge base for automated inference of patient problems from structured data in an electronic medical recordTranslational bioinformatics in the era of real-time biomedical, health care and wellness data streamsTrends in biomedical informatics: automated topic analysis of JAMIA articlesUsing linked data for mining drug-drug interactions in electronic health recordsApplying semantic web technologies for phenome-wide scan using an electronic health record linked BiobankMining the human phenome using semantic web technologies: a case study for Type 2 DiabetesUsing semantic web technologies for cohort identification from electronic health records for clinical researchMining the pharmacogenomics literature--a survey of the state of the artTrends in biomedical informatics: most cited topics from recent yearsEthical and practical challenges of sharing data from genome-wide association studies: the eMERGE Consortium experienceThe ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study.Some experiences and opportunities for big data in translational research.Billing code algorithms to identify cases of peripheral artery disease from administrative dataA genome-wide association study of red blood cell traits using the electronic medical record.Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data qualityGenotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record.MedXN: an open source medication extraction and normalization tool for clinical textInfluenza detection from emergency department reports using natural language processing and Bayesian network classifiersThe SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities.Family history as a risk factor for peripheral arterial disease.Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategiesEnhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records.Increased serum N-terminal pro-B-type natriuretic peptide levels in patients with medial arterial calcification and poorly compressible leg arteries.Mayo Genome Consortia: a genotype-phenotype resource for genome-wide association studies with an application to the analysis of circulating bilirubin levels.Longitudinal analysis of new information types in clinical notesAn electronic medical record-linked biorepository to identify novel biomarkers for atherosclerotic cardiovascular disease.Usefulness of red cell distribution width to predict mortality in patients with peripheral artery disease.The genetic basis of peripheral arterial disease: current knowledge, challenges, and future directions.Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.Survival in patients with poorly compressible leg arteries.
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P2860
Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Leveraging informatics for gen ...... of peripheral arterial disease
@ast
Leveraging informatics for gen ...... of peripheral arterial disease
@en
Leveraging informatics for gen ...... of peripheral arterial disease
@nl
type
label
Leveraging informatics for gen ...... of peripheral arterial disease
@ast
Leveraging informatics for gen ...... of peripheral arterial disease
@en
Leveraging informatics for gen ...... of peripheral arterial disease
@nl
prefLabel
Leveraging informatics for gen ...... of peripheral arterial disease
@ast
Leveraging informatics for gen ...... of peripheral arterial disease
@en
Leveraging informatics for gen ...... of peripheral arterial disease
@nl
P2093
P2860
P1476
Leveraging informatics for gen ...... of peripheral arterial disease
@en
P2093
Christopher G Chute
Guergana K Savova
Iftikhar J Kullo
Jyotishman Pathak
Zeenat Ali
P2860
P304
P356
10.1136/JAMIA.2010.004366
P577
2010-09-01T00:00:00Z