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- W2071151688 abstract "The burden of heart disease is rapidly worsening due to the increasing prevalence of obesity and diabetes. Data sharing and open database resources for heart health informatics are important for advancing our understanding of cardiovascular function, disease progression and therapeutics. Data sharing enables valuable information, often obtained at considerable expense and effort, to be reused beyond the specific objectives of the original study. Many government funding agencies and journal publishers are requiring data reuse, and are providing mechanisms for data curation and archival. Tools and infrastructure are available to archive anonymous data from a wide range of studies, from descriptive epidemiological data to gigabytes of imaging data. Meta-analyses can be performed to combine raw data from disparate studies to obtain unique comparisons or to enhance statistical power. Open benchmark datasets are invaluable for validating data analysis algorithms and objectively comparing results. This review provides a rationale for increased data sharing and surveys recent progress in the cardiovascular domain. We also highlight the potential of recent large cardiovascular epidemiological studies enabling collaborative efforts to facilitate data sharing, algorithms benchmarking, disease modeling and statistical atlases." @default.
- W2071151688 created "2016-06-24" @default.
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- W2071151688 creator A5057110022 @default.
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- W2071151688 creator A5071917998 @default.
- W2071151688 date "2015-07-01" @default.
- W2071151688 modified "2023-10-18" @default.
- W2071151688 title "Big Heart Data: Advancing Health Informatics Through Data Sharing in Cardiovascular Imaging" @default.
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- W2071151688 doi "https://doi.org/10.1109/jbhi.2014.2370952" @default.
- W2071151688 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4659497" @default.
- W2071151688 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25415993" @default.
- W2071151688 hasPublicationYear "2015" @default.
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