An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms
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Surveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal GenomicsA Modular Architecture for Electronic Health Record-Driven PhenotypingExtracting research-quality phenotypes from electronic health records to support precision medicineFormalization and computation of quality measures based on electronic medical recordsThe Electronic Medical Records and Genomics (eMERGE) Network: past, present, and futureClinical research informatics and electronic health record dataDeveloping a data element repository to support EHR-driven phenotype algorithm authoring and execution.The electronic health record for translational research.Design patterns for the development of electronic health record-driven phenotype extraction algorithms.Scalable and High-Throughput Execution of Clinical Quality Measures from Electronic Health Records using MapReduce and the JBoss® Drools EngineA Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 PlatformDesiderata for computable representations of electronic health records-driven phenotype algorithms.ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner Workflow.Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis.A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and ExecutionDeveloping a modular architecture for creation of rule-based clinical diagnostic criteria.A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.Defining a comprehensive verotype using electronic health records for personalized medicine.A review of approaches to identifying patient phenotype cohorts using electronic health records.PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs.
P2860
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P2860
An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms
description
2012 nî lūn-bûn
@nan
2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@ast
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@en
type
label
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@ast
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@en
prefLabel
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@ast
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@en
P2093
P2860
P1476
An evaluation of the NQF Quali ...... driven phenotyping algorithms
@en
P2093
Aaron Miller
Abel N Kho
Jennifer A Pacheco
Joshua C Denny
Jyotishman Pathak
Luke V Rasmussen
Peggy L Peissig
William K Thompson
P2860
P304
P577
2012-11-03T00:00:00Z