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المؤلفDai, Haijiang
المؤلفYounis, Arwa
المؤلفKong, Jude Dzevela
المؤلفPuce, Luca
المؤلفJabbour, Georges
المؤلفYuan, Hong
المؤلفBragazzi, Nicola Luigi
تاريخ الإتاحة2023-01-24T09:31:22Z
تاريخ النشر2022-01-01
اسم المنشورFrontiers in Cardiovascular Medicine
المعرّفhttp://dx.doi.org/10.3389/fcvm.2022.844296
الاقتباسDai 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
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129672109&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/38779
الملخصCardiological 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.
اللغةen
الناشرFrontiers Media
الموضوعBig Data
cardiology
epidemiological registries
high-throughput technologies
non-conventional data streams
wearable technologies
العنوانBig Data in Cardiology: State-of-Art and Future Prospects
النوعArticle Review
رقم المجلد9
ESSN2297-055X
dc.accessType Open Access


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