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...
متن کاملEHR Big Data Deep Phenotyping. Contribution of the IMIA Genomic Medicine Working Group.
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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Clinical polysomnography (PSG) databases are a rich resource in the era of "big data" analytics. We explore the uses and potential pitfalls of clinical data mining of PSG using statistical principles and analysis of clinical data from our sleep center. We performed retrospective analysis of self-reported and objective PSG data from adults who underwent overnight PSG (diagnostic tests, n=1835). ...
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The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...
متن کاملDeep Broad Learning - Big Models for Big Data
Deep learning has demonstrated the power of detailed modeling of complex high-order (multivariate) interactions in data. For some learning tasks there is power in learning models that are not only Deep but also Broad. By Broad, we mean models that incorporate evidence from large numbers of features. This is of especial value in applications where many different features and combinations of feat...
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ژورنال
عنوان ژورنال: Yearbook of Medical Informatics
سال: 2014
ISSN: 0943-4747,2364-0502
DOI: 10.15265/iy-2014-0006