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Big Data, Big Knowledge: Big Data for Personalized Healthcare. [PDF]
IEEE Journal of Biomedical and Health Informatics, 2015 The idea that the purely phenomenological knowledge that we can extract by analyzing large amounts of data can be useful in healthcare seems to contradict the desire of VPH researchers to build detailed mechanistic models for individual patients.
Hose, R., Hunter, P., Viceconti, M.
core +4 more sources
Wirtschaftsinf., 2014 Este artigo discute a novidade do big data, argumentando que ela pode ser definida em relação ao tipo de conhecimento que é criado. Destaca a importância do big data na pesquisa em ciências sociais e, especialmente, na pesquisa em comunicação, apesar de essa investigação ser em parte limitada pelas fontes (comerciais, muitas vezes) de dados.
M. Schermann +6 more
openaire +3 more sources
Acknowledgment to Reviewers of Big Data and Cognitive Computing in 2020
Big Data and Cognitive Computing, 2021 Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
doaj +1 more source
Iraqi Journal for Computers and Informatics, 2022 Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional ...
Wasnaa Kadhim Jawad, Abbas M. Al-Bakry
semanticscholar +1 more source
The use of Big Data Analytics in healthcare
Journal of Big Data, 2022 The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare.
Kornelia M. Batko, A. Ślęzak
semanticscholar +1 more source
Data & Policy, 2021 In this paper, we present the work conducted by Vodafone to enrich the understanding of people movement in Italy during the outbreak of the Coronavirus in 2020, and the tool developed to support the decisions taken by the authorities during that period ...
Francesco Calabrese +5 more
doaj +1 more source
Scientific Data, 2023 Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) tools have been developed to ...
Hieu T. Nguyen +6 more
doaj +1 more source
Czego nie mówią politycy, powie wam big data [PDF]
Dyskurs & Dialog, 2020 Artykuł ten jest opisem analizy języka, jakim posługują się politycy na Twitterze z podziałem na frakcje polityczne i wykorzystanie algorytmów uczenia maszynowego.
Mateusz Dobrowolski, Paweł Kalisz
doaj +1 more source
A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools
International Journal for Research in Applied Science and Engineering Technology, 2022 : A huge repository of terabytes of data is generated each day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to extract
D. Acharjya, P. KauserAhmed
semanticscholar +1 more source
Acknowledgement to Reviewers of Big Data and Cognitive Computing in 2019
Big Data and Cognitive Computing, 2020 Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Big Data and Cognitive Computing Editorial Office
doaj +1 more source