… Additionally, these projects show that biomedical … will need to use the same approaches
that big computer technology companies use to deal with increasing amounts of personal data. …

… In the following, we will explain why the use of big data methods … that big data researchers
are aware that when used in the context of computational biomedicine, big data methods need …

… to “big data” indexed by Google Scholar. (b) Cumulative number of publications per health
research area referring to “big data,” as indexed in … allows gathering brain functional data for …

… hand, data repository operators need to index the metadata … by gathering data discovery
needs from representative users, … of disciplinary backgrounds (eg biomedical and healthcare, …

… the main challenges that exist for the use of big data in healthcare research and in the clinic.
… an exponential rate and the need for cross-border exchange of biomedical and healthcare …

… were weighted and excluded based on subjects not meeting specific criteria; (4) PCA was
used to determine dietary patterns in the United States population, and Gaussian regression …

… biomedical big data is providing new insights to advance healthcare research, but it is difficult
to efficiently manage big data … query indexes that effectiv ries over large volumes of big data…

The rapid increase in volume and complexity of biomedical data requires changes in research,
communication, and clinical practices. This includes learning how to effectively integrate …

… the ethical implications of Big Data, providing a watershed for future ethical investigations
and regulations. Particular attention is paid to biomedical Big Data due to the inherent …

… in the biomedical data space, where inverted indexers [48, 69], which function as an index in
… and dilemma in the biomedical informatics community to use both structured SQL and semi-…