Desiderata for computable representations of electronic health records-driven phenotype algorithms.
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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.Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 PlatformAn information model for computable cancer phenotypes.Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse.Integrating electronic health record genotype and phenotype datasets to transform patient careA Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States.Methods for enhancing the reproducibility of biomedical research findings using electronic health records.Early Identification of Patients With Acute Decompensated Heart Failure.A Novel Screening Method to Identify Late-Stage Dementia Patients for Palliative Care Research and Practice.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.Why Everyone Should Care About "Computable Phenotypes".Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.Natural language processing of clinical notes for identification of critical limb ischemia.Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis.Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample.Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.The rendering of human phenotype and rare diseases in ICD-11.
P2860
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P2860
Desiderata for computable representations of electronic health records-driven phenotype algorithms.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
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name
Desiderata for computable repr ...... s-driven phenotype algorithms.
@ast
Desiderata for computable repr ...... s-driven phenotype algorithms.
@en
type
label
Desiderata for computable repr ...... s-driven phenotype algorithms.
@ast
Desiderata for computable repr ...... s-driven phenotype algorithms.
@en
prefLabel
Desiderata for computable repr ...... s-driven phenotype algorithms.
@ast
Desiderata for computable repr ...... s-driven phenotype algorithms.
@en
P2093
P2860
P50
P356
P1476
Desiderata for computable repr ...... s-driven phenotype algorithms.
@en
P2093
Abel N Kho
Christopher G Chute
Cosmin A Bejan
Dan M Roden
David S Carrell
Enid Montague
Eric B Larson
Frank D Mentch
Guoqian Jiang
Jennifer A Pacheco
P2860
P304
P356
10.1093/JAMIA/OCV112
P577
2015-09-05T00:00:00Z