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AuthorDai, Haijiang
AuthorYounis, Arwa
AuthorKong, Jude Dzevela
AuthorPuce, Luca
AuthorJabbour, Georges
AuthorYuan, Hong
AuthorBragazzi, Nicola Luigi
Available date2023-01-24T09:31:22Z
Publication Date2022-01-01
Publication NameFrontiers in Cardiovascular Medicine
Identifierhttp://dx.doi.org/10.3389/fcvm.2022.844296
CitationDai H, Younis A, Kong JD, Puce L, Jabbour G, Yuan H and Bragazzi NL (2022) Big Data in Cardiology: State-of-Art and Future Prospects. Front. Cardiovasc. Med. 9:844296. doi: 10.3389/fcvm.2022.844296
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129672109&origin=inward
URIhttp://hdl.handle.net/10576/38779
AbstractCardiological disorders contribute to a significant portion of the global burden of disease. Cardiology can benefit from Big Data, which are generated and released by different sources and channels, like epidemiological surveys, national registries, electronic clinical records, claims-based databases (epidemiological Big Data), wet-lab, and next-generation sequencing (molecular Big Data), smartphones, smartwatches, and other mobile devices, sensors and wearable technologies, imaging techniques (computational Big Data), non-conventional data streams such as social networks, and web queries (digital Big Data), among others. Big Data is increasingly having a more and more relevant role, being highly ubiquitous and pervasive in contemporary society and paving the way for new, unprecedented perspectives in biomedicine, including cardiology. Big Data can be a real paradigm shift that revolutionizes cardiological practice and clinical research. However, some methodological issues should be properly addressed (like recording and association biases) and some ethical issues should be considered (such as privacy). Therefore, further research in the field is warranted.
Languageen
PublisherFrontiers Media
SubjectBig Data
cardiology
epidemiological registries
high-throughput technologies
non-conventional data streams
wearable technologies
TitleBig Data in Cardiology: State-of-Art and Future Prospects
TypeArticle Review
Volume Number9
ESSN2297-055X
dc.accessType Open Access


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