Big data in biomedicine.

By Fabrício F. Costa. Drug Discovery Today, 2014

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Information Management, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8f5c46bcb0286f30652d76c694c62ac75f8457d2

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Citations in the corpus

Massive mining of publicly available RNA-seq data from human and mouse (2017, background): “Retrospective analysis of large collections of previously published RNA-seq data has great promise for accelerating biological and drug discovery (13).”
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “form the way it approaches research and medicine: an entirely new genomics industry could result from Cloud computing, transforming medicine and life sciences [65].”
A Bibliometric Analysis and Visualization of Medical Big Data Research (2018, methodology): “Big data analysis is the key to precision medical treatment [52].”
Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science (2016, background): “This leads to sever limitations with respect to access and data sharing possibilities across these entities due to privacy and security issues (Costa 2014; Kong and Xiao 2015; Kostkova et al. 2016; Toga and Dinov 2015).”
Big Data in product lifecycle management (2015, background): “As a new concept, “Big Data” has met knotty and profound challenges like collection, storage, transfer, and security of data [90].”
MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain (2017, background): “This has spawned the interest of several industries with a focus on cloud storage and processing mechanisms, data analytics and data provenance rendering traditional industries dependency on data availability on their operations and survival [6], [7].”
Concurrence of big data analytics and healthcare: A systematic review (2018, methodology): “Another major challenge that healthcare faces is the lack of appropriate IT infrastructure [8,27,81] and transition from use of paper-based records to use of distributed data processing [64,82].”
Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0 (2020, background): “cloud architectures, needed for securely and reliably handling both processing and storage requirements to analyze these large amounts of data [75].”