Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3848

 Title: Internet of Medical Imaging Things and Analytics in Support of Precision Medicine for Early Diagnostics of Thyroid Cancer Authors: Borovska, PlamenkaDesislava, IvanovaDraganov, Ivo Keywords: Internet of Medical Imaging Things and AnalyticsThyroid Cancer DiagnosticsUltrasound Imaging Issue Date: 2018 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 12, No 1-2, (2018), 047p-064p Abstract: In this paper the role of advanced information technologies such as Internet of medical imaging Things and analytics in support and promotion of precision medicine is revealed considering a case study of early thyroid cancer diagnostics. The concept of precision medicine is presented and analyzed from the point of view of computational science and the new paradigm for scientific research. The focus of the paper is on the intersection of Internet of medical imaging Things and analytics ecosystem and precision medicine. The computational flow of in silico knowledge data discovery is presented and analyzed and the beneficial outcomes for the case study of thyroid cancer diagnostics revealed. Finally, the architecture of experimental framework for in silico knowledge data discovery is proposed based on thyroid cancer imaging analytics. ACM Computing Classification System (1998): I.2.1, J.3. URI: http://hdl.handle.net/10525/3848 ISSN: 1312-6555 Appears in Collections: Volume 12, Number 1-2

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