Automated UMLS-based comparison of medical forms. - Wikidata - wikimedia - TriplyDB

Automated UMLS-based comparison of medical forms.

Automated UMLS-based comparison of medical forms.

http://www.wikidata.org/entity/Q34826389

about

Clinical Research Informatics: Recent Advances and Future Directions Integrated data management for clinical studies: automatic transformation of data models with semantic annotations for principal investigators, data managers and statisticians Comparison of bias analysis strategies applied to a large data set Current applications and future directions for the CDISC Operational Data Model standard: A methodological review.Portal of medical data models: information infrastructure for medical research and healthcare ODM2CDA and CDA2ODM: tools to convert documentation forms between EDC and EHR systems.ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.CDEGenerator: an online platform to learn from existing data models to build model registries

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P2860

Automated UMLS-based comparison of medical forms.

http://www.wikidata.org/entity/Q34826389

description

2013 nî lūn-bûn

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2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2013 թվականի հուլիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms.

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Automated UMLS-based comparison of medical forms

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Bernhard Breil

http://www.w3.org/2001/XMLSchema#string

Martin Dugas

http://www.w3.org/2001/XMLSchema#string

Rainer Krumm

http://www.w3.org/2001/XMLSchema#string

P2860

Multilingual Medical Data Models in ODM Format: A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research

Comparing heterogeneous SNOMED CT coding of clinical research concepts by examining normalized expressions.

Electronic Healthcare Record and clinical research in cardiovascular radiology. HL7 CDA and CDISC ODM interoperability.

Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.

HL7 Clinical Document Architecture, Release 2

OntoCheck: verifying ontology naming conventions and metadata completeness in Protégé 4

Reliability of SNOMED-CT coding by three physicians using two terminology browsers.

Using EHRs to integrate research with patient care: promises and challenges.

Representation of ophthalmology concepts by electronic systems: intercoder agreement among physicians using controlled terminologies.

Practical experience with the maintenance and auditing of a large medical ontology.

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