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dc.contributor.authorLi, Jing-Song
dc.contributor.authorZhang, Yi-Fan
dc.contributor.authorTian, Yu
dc.contributor.authorLi, Jing-Songen_US
dc.contributor.authorZhang, Yi-Fanen_US
dc.contributor.authorTian, Yuen_US
dc.date.accessioned2016-08-02T08:12:35Z
dc.date.available2016-08-02T08:12:35Z
dc.date.issued2016en_US
dc.identifier.isbn978-953-51-2490-0en_US
dc.identifier.otherHPU3160548en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/22692
dc.description.abstractThe rapidly increasing medical data generated from hospital information system (HIS) signifies the era of Big Data in the healthcare domain. These data hold great value to the workflow management, patient care and treatment, scientific research, and education in the healthcare industry. However, the complex, distributed, and highly interdisciplinary nature of medical data has underscored the limitations of traditional data analysis capabilities of data accessing, storage, processing, analyzing, distributing, and sharing. New and efficient technologies are becoming necessary to obtain the wealth of information and knowledge underlying medical Big Data. This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data processing technologies.en_US
dc.format.extent29tr.
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherINTECH Open Access Publisheren_US
dc.subjectComputer and Information Scienceen_US
dc.subjectInformation and Knowledge Engineeringen_US
dc.subjectMedical Big Data analysisen_US
dc.subjectHospital information systemen_US
dc.subjectCloud computingen_US
dc.subjectData miningen_US
dc.subjectSemantic Web technologiesen_US
dc.titleBig Data on Real-World Applications. Chapter 4: Medical Big Data Analysis in Hospital Information Systemen_US
dc.typeBooken_US
dc.size1,919Kben_US
dc.departmentICTen_US


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