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Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia
2016
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems
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In this paper we briefly introduce fundamental big data characteristics and then present seven case studies of big data techniques, systems, applications, and platforms, as seen from academic perspective ...
Big data is a broad term with numerous dimensions, most notably: big data characteristics, techniques, software systems, application domains, computing platforms, and big data milieu (industry, government ...
In section IV, Application Domains, we discuss applications in astronomy and earth science (subsection IV.A) and in biomedical research (subsection IV.B). ...
doi:10.15439/2016f91
dblp:conf/fedcsis/RadenskiGKKNSS16
fatcat:22ekovjsajd5hhilzczvzoay7m
An overview of graph databases and their applications in the biomedical domain
2021
Database: The Journal of Biological Databases and Curation
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Because of the interconnected nature of its data, the biomedical domain has been one of the early adopters of graph databases, enabling more natural representation models and better data integration workflows ...
With this evidence, we conclude that the available graph database management systems are fit to support data-intensive, integrative applications, targeted at both basic research and exploratory tasks closer ...
Graph database applications in the biomedical domain Biomedical research produces large amounts of densely interconnected data belonging to many different domains, and storing such data has always presented ...
doi:10.1093/database/baab026
pmid:34003247
pmcid:PMC8130509
fatcat:xku5npedwzgs3ayzsuvz6iattq
Challenges of Big Data and Cyber Security in Health Center
2022
International Journal of Advanced Research in Science, Communication and Technology
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This section introduces the characteristics of big data, which is a visualization tool for big data, main prospects of big data use in healthcare, Benefits of Big Data Analytics in Healthcare and Progress ...
This document describes big data technologies in healthcare. blockchain and Data protection is becoming more important in the medical field Privacy issues and blockchain-based cyber security are also affected ...
, mobile clothing system [22] . under consideration increasingly require tools for big data Sometimes bigdata analysis requires massive computational power which is subsequently, specialized data centers ...
doi:10.48175/ijarsct-7148
fatcat:mnwinfy6rzd7pdl5vtx7gn3aki
Big Data for Biomedical Education with a Focus on the COVID-19 Era: An Integrative Review of the Literature
2021
International Journal of Environmental Research and Public Health
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/bioethical issues in biomedical education; and (IV) big data and medical career. ...
Five investigations exploited large databases and datasets, while five additional studies were surveys. Two papers employed visual data analytical/data mining techniques. ...
/bioethical issues in biomedical education; and, (IV) big data and medical career (Table 1 ). ...
doi:10.3390/ijerph18178989
pmid:34501581
fatcat:irgn36a3ifd3den7uyo6earj3a
A Cryptographic Approach to Securely Share and Query Genomic Sequences
2008
IEEE Transactions on Information Technology in Biomedicine
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He is engaged in text mining of medical literature databases, creation of databases for biological applications, computational systems biology, and data mining for better understanding of genomic/proteomic ...
To support large-scale biomedical research projects, organizations need to share person-specific genomic sequences without violating the privacy of their data subjects. ...
As such, it is necessary for scientists to share private data collections in support of research on a larger scale. ...
doi:10.1109/titb.2007.908465
pmid:18779075
fatcat:7h5bcwmynrecnbsiuupzw3wd2i
Nearsighted? farsighted? pragmatic? idealistic? "Charting a Course for the 21st Century": the National Library of Medicine's long-range plan, 2006–2016
2008
Journal of the Medical Library Association
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A schematic illustration of the double helix The two sugar-phosphate backbones twist about on the outside with the flat hydrogen-bonded base pairs forming the (.ore Seen this way, the structure resembles ...
Woods, Ph.D., Division of Lister Hill National Center for Biomedical Communications, "by anticipating trends and collaborating with prominent biomedical educators, his NLM projects advance the adoption ...
Rose Marie Woodsmall, Office of Planning and Evaluation, "for her efforts in the development of specifications for GRATEFUL MED, which allows access to the most widely used biomedical database in the world ...
doi:10.3163/1536-5050.96.4.001
pmid:18974804
pmcid:PMC2568847
fatcat:z3vcumqjsbbwthmecc44vjcqhm
A survey of big data research
2015
IEEE Network
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These large-scale data can be produced on the web, by sensors or monitoring systems [1] . ...
Statistical Analytics for Big Data in Industry Big data includes unstructured data coming from sensors, devices, third parties, web applications, and social media, in real time and on a large scale. ...
He is a Lead Guest Editor of IEEE Journal of Biomedical and Health Informatics (J-BHI) (previous IEEE Transactions on Information Technology in Biomedicine (TITB)) special issue on "Emerging Wireless Body ...
doi:10.1109/mnet.2015.7293298
pmid:26504265
pmcid:PMC4617656
fatcat:jjbzc7kqsng6blfinz6yxi6kqi
Data Integration Challenges for Machine Learning in Precision Medicine
2022
Frontiers in Medicine
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Efficient data integration and management is key to the successful application of computational intelligence approaches to medicine. ...
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on different databases about the molecular and environmental origins of disease, into analytic frameworks, allowing ...
EH-L and MM-G performed research and drafted the manuscript. All authors reviewed and approved the manuscript. ...
doi:10.3389/fmed.2021.784455
pmid:35145977
pmcid:PMC8821900
fatcat:nxco4r4gsjdfnpbgoditxjptya
@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services
2010
IEEE Transactions on Information Technology in Biomedicine
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This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing ...
The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers ...
In a second mode of operation, it enables in silico research and the linking of genetic and phenotypic evidence available in large-scale text databases, so that new knowledge can be extracted, structured ...
doi:10.1109/titb.2010.2049268
pmid:20435543
fatcat:qddyauelnrfc3ansfdqzxjwe4a
Frontiers of biomedical text mining: current progress
2007
Briefings in Bioinformatics
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However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. ...
It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. ...
KBC was supported by NIH grants 'Construction of a Full Text Corpus for Biomedical Text Mining' (#1G08LM009639-01) and 'Technology Development for a Molecular Biology Knowledge-base' (#5R01 LM008111-03 ...
doi:10.1093/bib/bbm045
pmid:17977867
pmcid:PMC2516302
fatcat:4nfbokb7lfdjbnkijw2v6754qy
Scalability Challenges in Healthcare Blockchain System - A Systematic Review
2020
IEEE Access
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However, limitations persist, including block size, high volume of data, transactions, number of nodes, and protocol challenges. ...
This review consists of six stages, namely identification of research question, procedures of research, screening of relevant articles, keywording based on the abstract, data extraction, and mapping process ...
ACKNOWLEDGMENT The authors would like to thank the Advanced Informatics Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, for acknowledging and supporting this research ...
doi:10.1109/access.2020.2969230
fatcat:rfxvgijkljgwjdrt25oilfth3y
Managing Knowledge Integration in a National Health-Care Crisis: Lessons Learned From Combating SARS in Singapore
2005
IEEE Transactions on Information Technology in Biomedicine
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In this paper, we take a look at the measures taken during the crisis in Singapore through a knowledge integration perspective. This perspective reveals interesting implications for HCIS. ...
Often one new infection meant tracing of several people to monitor their health conditions as well. ...
The database team set about resolving these issues and populated the database with the case data. ...
doi:10.1109/titb.2005.847160
pmid:16138543
pmcid:PMC7186036
fatcat:ocdrtmagcbd55fxggna66ox7f4
DATA MINING WITH BIG DATA REVOLUTION HYBRID
2017
International Journal on Smart Sensing and Intelligent Systems
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With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical ...
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. ...
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS SPECIAL ISSUE, SEPTEMBER 2017 564
For an intelligent learning database system [52] to handle Big Data, the essential key is to scale ...
doi:10.21307/ijssis-2017-270
fatcat:hizojevw2bcofn5sohvbjgguoe
Welcome Message from the General Chair
2006
International Conference on Dependable Systems and Networks (DSN'06)
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The international conference series on Very Large Data Bases (VLDB) was launched in 1975 in Framingham MA, about 20 miles from Boston. ...
In all three occasions, the Canadian Databases community served as backbone for the organizing and the programme committees. ...
compiled similar guides for ICSE 2001 and RE 2001, respectively ...
doi:10.1109/dsn.2006.75
dblp:conf/dsn/X06
fatcat:k4duddvbk5glboxkqxkkfsh4p4
SWPepNovo: An Efficient De Novo Peptide Sequencing Tool for Large-scale MS/MS Spectra Analysis
2019
International Journal of Biological Sciences
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This paper introduces an efficient tool based on SW26010 many-core processor, namely SWPepNovo, to process the large-scale peptide MS/MS spectra using a parallel peptide spectrum matches (PSMs) algorithm ...
Our design employs a two-level parallelization mechanism: (1) the task-level parallelism between MPEs using MPI based on a data transformation method and a dynamic feedback task scheduling algorithm, ( ...
Acknowledgment The research was partially funded by the National Key Research and Development Program of China(Grant No. 2016YFB0201800), the International ...
doi:10.7150/ijbs.32142
pmid:31523183
pmcid:PMC6743289
fatcat:k2enilkgdzg4xbiqjx3ehqr3wy
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