Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. - Wikidata - awgldk - TriplyDB

Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

http://www.wikidata.org/entity/Q35625126

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Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources A Modular Architecture for Electronic Health Record-Driven Phenotyping Formalization and computation of quality measures based on electronic medical records Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss® Drools Engine An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.Computational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data Clinical research informatics and electronic health record data Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.Metadata-driven Clinical Data Loading into i2b2 for Clinical and Translational Science Institutes.Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers The oral-systemic personalized medicine model at Marshfield Clinic.Design patterns for the development of electronic health record-driven phenotype extraction algorithms.Toward personalizing treatment for depression: predicting diagnosis and severity.Chapter 13: Mining electronic health records in the genomics era.V-Model: a new perspective for EHR-based phenotyping.Development of reusable logic for determination of statin exposure-time from electronic health records.Desiderata for computable representations of electronic health records-driven phenotype algorithms.Next-generation phenotyping of electronic health records.Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis.Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network Electronic medical record phenotyping using the anchor and learn framework.Patient Stratification Using Electronic Health Records from a Chronic Disease Management Program.Semantic ETL into i2b2 with Eureka!Temporal abstraction-based clinical phenotyping with Eureka!A review of approaches to identifying patient phenotype cohorts using electronic health records.Evaluation considerations for EHR-based phenotyping algorithms: A case study for drug-induced liver injury.An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.Surrogate-assisted feature extraction for high-throughput phenotyping.A multi-site cognitive task analysis for biomedical query mediation.PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac disease.Electronic health records-driven phenotyping: challenges, recent advances, and perspectives A Novel Screening Method to Identify Late-Stage Dementia Patients for Palliative Care Research and Practice.The rendering of human phenotype and rare diseases in ICD-11.

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Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms.

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AMIA Annual Symposium proceedings

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Analyzing the heterogeneity an ...... riented phenotyping algorithms

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Abel N Kho

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Christopher G Chute

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David Carrell

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Iftikhar J Kullo

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James G Linneman

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Jennifer A Pacheco

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Joshua C Denny

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Jyotishman Pathak

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Luke Rasmussen

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Mike Conway

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P2860

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies

A practical method for transforming free-text eligibility criteria into computable criteria

A genome-wide association study of red blood cell traits using the electronic medical record.

Formal representation of eligibility criteria: a literature review

Description and status update on GELLO: a proposed standardized object-oriented expression language for clinical decision support.

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease

Analysis of eligibility criteria complexity in clinical trials.

Modulators of normal electrocardiographic intervals identified in a large electronic medical record.

AIDS2: a decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols

Paying clinicians to join clinical trials: a review of guidelines and interview study of trialists.

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274-283

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2011

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Jyotishman Pathak

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2011-10-22T00:00:00Z

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22195079

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electronic health record

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3243189

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