AIMC Topic: Common Data Elements

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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Information Dissemination Advisory Committees Biological Ontologies Confidentiality Telemedicine Stakeholder Participation Electrocorticography Societies, Medical Neuroimaging Computer Security Big Data Wearable Electronic Devices Genomics Epilepsy Smartphone Electronic Health Records Biomedical Research Deep Learning Humans Brain Common Data Elements Research Support as Topic
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Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.

BMC medical informatics and decision making Dec 23, 2019
BACKGROUND: The medical community uses a variety of data standards for both clinical and research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such standard that provides robust data point definitions. Another standard is the ...
Research Design Biomedical Research Semantics Common Data Elements Neoplasms Humans Neural Networks, Computer Algorithms
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Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVES: There exists a communication gap between the biomedical informatics community on one side and the computer science/artificial intelligence community on the other side regarding the meaning of the terms "semantic integration" and "knowledg...
Biomedical Research Common Data Elements Neoplasms Interdisciplinary Communication Data Management Knowledge Management Medical Informatics Semantic Web Humans Biological Ontologies Artificial Intelligence
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Improving the 'Fitness for Purpose' of Common Data Models through Realism Based Ontology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Common data models are designed and built based on requirements that are aimed towards fitness for purpose. But when common data models are used as lenses through which reality is observed from the perspective according to which they are built, then ...
Common Data Elements Big Data Databases, Factual Information Storage and Retrieval Electronic Health Records Biological Ontologies
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Making Digital Health Equitable.

Studies in health technology and informatics Jan 25, 2024
Most agree that the current healthcare system is broken. Fortunately, technology is increasing at an exponential rate and provides a solution for the future. Digital Health is an integrator concept that has the potential to take advantage of technolo...
Health Facilities Common Data Elements Computers, Handheld Artificial Intelligence Digital Health Humans
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Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.
Information Storage and Retrieval Electronic Health Records Computer Communication Networks Female Common Data Elements Registries Logistic Models Confidentiality Natural Language Processing Male Humans COVID-19 Algorithms
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Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty.

The Journal of bone and joint surgery. American volume Nov 6, 2019
BACKGROUND: Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. Natural language processing (NLP) tools are distinctive in their ability to extract critical information from raw...
Humans Electronic Health Records Natural Language Processing Algorithms Arthroplasty, Replacement, Hip Common Data Elements
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Machine Learning Methods for Identifying Critical Data Elements in Nursing Documentation.

Nursing research Jan 1, 2019
BACKGROUND: Public health nurses (PHNs) engage in home visiting services and documentation of care services for at-risk clients. To increase efficiency and decrease documentation burden, it would be useful for PHNs to identify critical data elements ...
Common Data Elements Humans Nurses, Public Health Retrospective Studies Regression Analysis Machine Learning Public Health Nursing Documentation Electronic Health Records
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