№2, 2016


Gulara I. Muradova

The paper highlights Big Data application in medicine and biomedical research. It provides examples how analysis of Big Data can significantly reduce problems in healthcare. Perspectives of implementation of Big Data in healthcare are shown. (pp.83-90)

Keywords: Big Data, Big Data analytics, personalized medicine, biomedicine, telemedicine.
  • Jee K., Kim G. Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System / Healthcare Informatics Research, Korea, 2013, vol.19, no.2, pp.79–85.
  • Semashko A.V., newspaper “News of Medicine and Pharmacy” Gastroenterology (429) 2013.02.06.
  • Chernyak L. Seriously on technologies for Big Data // Open systems, 2014, No1, pp.26–28.
  • Koptelov A. What big data can give a business? // CNews Analytics, 2014. www.cnews.ru/reviews/bi_bigdata_2014/articles/chto_bolshie_dannye_mogut_dat_biznesu/
  • Carrera P., Dalton A. Do-it-yourself Healthcare: The current landscape, prospects and consequences//Maturitas, 2014, vol.77, no.1, pp.37–40.
  • Meyer-Shenberger V., Kukier K., “Big Data”, Moscow, 2014, pp.9–109.
  • “Big Data”, big work, big problem / ITU News https://itunews.itu.int/Ru/Note.aspx?Note=4879
  • Raghupathi W., Raghupathi V. Big Data analytics in healthcare: promise and potential // Health Information Science and Systems, 2014, vol.2, no.3, p.10.
  • Herland M., Khoshgoftaar T. M., Wald R. A review of data mining using big data in health informatics // Journal of Big Data, 2014, vol. 1, no.2, pp.4–7.
  • Big Data in medicine and healthcare osp.ru/medit/2014/04/13040834.html
  • Krechetov N.E., Kondratenkov V.A., Zelenskaya Y.V. International experience of using intersystems technologies in healthcare // Doctor and information technology, 2006, No4, pp.125–131.
  • Konstantinov A. The brain of the machine // Expert, 2013, No11, pp.8–11.
  • Genome as a collider http://chrdk.ru/tech/2015/7/1/emc/
  • https://ru.wikipedia.org
  • Tripp S., Grueber M. Economic Impacts of the Human Genome Project / Battelle Memorial Institute, 2011, 6 p.
  • http://en.wikipedia.org/wiki/Personal_Genome_Project
  • Vasilkov A. Medicine becomes personalized affected by “big data” www.computerra.ru/88609/big-data-improve-personalized-medicine/
  • How GenePool Works. www.stationxinc.com/how-genepool-works
  • Scientific-popular portal about genetics http://mygenome.su/articles/112/
  • Lambert J., Ibrahim-Verbaas C, Harold D. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease // Nature genetics, 2013, no.45, pp.1452–1458.
  • Swarup V., Geschwind D.H. Alzheimer's disease: From Big Data to mechanism // Nature, 2013, vol. 500, pp.34–35.
  • Bettens K., Sleegers K., Broeckhoven C., Genetic insights in Alzheimer's disease/ The lancet neurology, 2013, vol.12, no.1, pp.92–104.
  • Muldashev E.R., Nigmatullin R.T. and et.al. Prospects of p4 concept in craniofacial surgery, News of FSBU 2012, No12 (148), pp.136–138.
  • Bradley W., Golding S., Herold C. Globalization of P4 medicine: predictive, personalized, preemptive and participatory-summary of the proceedings of the Eighth/ International Symposium of the International Society for Strategic Studies in Radiology, 2011, no.258(2), pp.571–582.
  • Shaikh A., et al. Collaborative Biomedicine in the Age of Big Data: The Case of Cancer // Journal Med Internet Res, 2014, vol.14, no.4, pp.101–109.
  • Coakley M., Crocetti G., Dressner P., Kellum W. Transforming Telemedicine Through Big Data Analytics, Cornell University Library, 2015, 10 p.
  • Kuo M., Sahama T., Andre W. Kushniruk A., Health big data analytics: current perspectives, challenges and potential solutions// International Journal of Big Data Intelligence, 2014, vol.1, no.1/2, pp.114–126.
  • Suchkov S., Rizing K. Rose N. Translational Medicine - Myth or Reality? // “Remedium” 2013, No.5, pp.10–17.
  • Health and Biomedical Big Data for Translational Research http://med.unsw.edu.au/event/health-and-biomedical-big-data-translational-research
  • Shalkovsky A.G., Kuptsov S.M., Berseneva E.A. Topical issues of creating automated system for remote monitoring of human health // Doctor and information technology, 2016, No1, pp.67–79.
  • IBM Watson Health. www.interface.ru/home.asp?artId=37954
  • Trifonova O.P., Ilyin V.A. “Big data” in biology and medicine, Acta Naturae, Medicine and Health, GRNTI: Research Library, 2013, No3, pp.14–17.
  • Turlapov V., Gavrilov N., Saprykin N. Platform for digital medicine // Open systems, 2014, No 05, pp.64–66.
  • Skripcak T., Belka C., Bosch W. Creating a data exchange strategy for radiotherapy research: Towards federated databases and anonymised public datasets // Radiotherapy and Oncology, 2014, vol.113, no.3, pp.303–309.
  • Giglaviy A.V., Sokolov A.V., Abdrakhmanova G.I., Chulok A.A., Burov V.V. Long-term trends in the development of information and communication technology sector // Forsite, 2013, No3, pp.6–24.
  • Advanced Computing Solutions for Health Care and Medicine // Journal of Computational Science, 2012, vol.3, no.5, pp.247–438.
  • www.cisco.com/web/RU/news/releases/txt/2012/040612d.html
  • Alyass A., Turcotte M., Meyre D. From big data analysis to personalized medicine for all: challenges and opportunities // BMC Medical Genomics 2015, vol.8. biomedcentral.com/1755-8794/8/33
  • Shinal J. If clean, big data can improve U.S. health care, Special / USA today, 2014.
  • usatoday.com/story/tech/columnist/shinal/2014/05/14/medical-privacy-health/908787 3/
  • Tene O., Striks H. Big Data for All: Privacy and User Control in the Age of Analytic Northwestern // Northwestern Journal of Technology and Intellectual Property, 2013, vol.11, no.5, pp.239–272.