منابع مشابه
EHR Big Data Deep Phenotyping
Objectives: Given the quickening speed of discovery of variant disease drivers from combined patient genotype and phenotype data, the objective is to provide methodology using big data technology to support the definition of deep phenotypes in medical records. Methods: As the vast stores of genomic information increase with next generation sequencing, the importance of deep phenotyping increase...
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Electronic health records (EHR) data provide a cost and time-effective opportunity to conduct cohort studies of the effects of multiple time-point interventions in the diverse patient population found in real-world clinical settings. Because the computational cost of analyzing EHR data at daily (or more granular) scale can be quite high, a pragmatic approach has been to partition the follow-up ...
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As part of a project to develop a roadmap for the creation of a multi-center fully identified patient data warehouse involving all State Universities of New York State (SUNY), we’ve examined patient records stored in an EHR database to 1) determine what its contents are intended to represent, and 2) develop ontologically sound models based on the principles of Ontological Realism and Referent T...
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ژورنال
عنوان ژورنال: AJN, American Journal of Nursing
سال: 2020
ISSN: 0002-936X
DOI: 10.1097/01.naj.0000659948.46046.cd