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Qualitative evaluation of distributed clinical systems supporting research teams working on large-scale data

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Języki publikacji
EN
Abstrakty
EN
In this paper, five contemporary scalable systems to support medical research teams are presented. Their functionalities extend from heterogeneous unstructured data acquisition through large-scale data storing, to on-the-fly analyzing by using robust methods. Such kinds of systems can be useful in the development of new medical procedures and recommendation rules for decision support systems. A short description of each of them is provided. Further, a set of the most important features is selected, and a comparison based-on it is performed. The need for high performance computing is emphasized. A general discussion how to improve the existing solutions or develop new ones in the future is also presented.
Rocznik
Strony
215--231
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
  • aculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland
Bibliografia
  • [1] Katzan I L, Rudick R A 2012 www.ScienceTranslationalMedicine.org 4 (16228)
  • [2] Richardson I, Reid L, O’Leary P 2016 Healthcare Systems Quality: Development and Use, Proc. of IEEE/ACM International Workshop on Software Engineering in Healthcare Systems 50 doi: doi:10.1109/SEHS.2016.01
  • [3] Vizza P, Guzzi P H, Veltri P, Cascini G L, Curia R, Sisca L 2016 GIDAC: A prototype for bioimages annotation and clinical data integration, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 1028 doi: doi: 10.1109/BIBM.2016.7822663
  • [4] Clininet documentation [Online] Available at: https://www.cgm.com/pl/prodcutssolutions/medicalcolleges/solutions for universities.pl.jsp [accessed 5.06.2017]
  • [5] Wolstencroft K, et al. 2013 The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud, Nucleic Acids Research 41 (W1) W557 doi: doi:10.1093/nar/gkt328
  • [6] Chen Y Sun P 2014 The research and practice of medical image 3D reconstruction platform, Proceedings IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) 305 doi: doi:10.1109/SPAC.2014.6982704
  • [7] Gomez H, Camacho J, Yelicich B, Moraes L, Biestro A Puppo C 2010 Development of a multimodal monitoring platform for medical research, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2358 doi: doi:10.1109/IEMBS.2010.5627936
  • [8] Xia C, Song S 2011 Research on real-time ESB and its application in regional medical information exchange platform, 4th International Conference on Biomedical Engineering and Informatics (BMEI) 1933 doi: doi:10.1109/BMEI.2011.6098735
  • [9] Lizarraga G, Cabrerizo M, Duara R, Rojas N, Adjouadi M, Loewenstein D 2016 A Web Platform for data acquisition and analysis for Alzheimer’s disease, SoutheastCon 1 doi: doi:10.1109/SECON.2016.7506730
  • [10] Yu J, Mao H, Li M, Ye D, Zhao D 2016 CSDC – A nationwide screening platform for stroke control and prevention in China, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2974 doi: doi:10.1109/EMBC.2016.7591354
  • [11] Jędrzejewski M, Brzeski A, Blokus A, Cychnerski J, Dziubich T 2012 Real-Time Gastrointestinal Tract Video Analysis on a Cluster Supercomputer, Springer 55
  • [12] Dorożyński P, Brzeski A, Cychnerski J, Dziubich T 2016 Towards Healthcare Cloud Computing, Information Systems Architecture and Technology, Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 (ed. Świątek J.), Springer 87 doi: doi:10.1007/978-3-319-28564-18
  • [13] Apanasik Y, Shabalina I, Kuznetsova L 2013 The research platform for building medical diagnostic services, 14th Conference of Open Innovation Association FRUCT 9 doi: doi:10.1109/FRUCT.2013.6737939
  • [14] Reuter M, Rosas H D, Fischl B 2010 Highly Accurate Inverse Consistent Registration: A Robust Approach, Neuroimage 53 (4) 1181
  • [15] Blackett G Analytics Network – O. R. Analytics [Online] Available at: http://www.theor-society.com/Pages/SpecialInterest/AnalyticsNetwork analytics.aspx [accessed 5.06.2017]
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8ca9b9ce-b41b-4a3b-8dd4-c0711b6b2971
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