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Social Network Analysis in Healthcare

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Internet of Things and Big Data Technologies for Next Generation Healthcare

Part of the book series: Studies in Big Data ((SBD,volume 23))

Abstract

Ever since the launch of Facebook and Twitter Social Networking has been booming. Healthcare is improving mainly due to services provided by social media websites such as Sermo, Ozmosis and MomMD. This chapter’s main objective is to broaden the understanding of healthcare services provided by social media. The reader will be able to understand the means by which medical information is exchanged online and how to interpret this information with some specific examples. In addition to describing the architecture behind social media further insights to mobile applications has been given. Big data in healthcare and risks involved in using social media for healthcare have been discussed to caution its usage.

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References

  1. Denecke, K.: Health Web Science. Springer International Publishing (2015)

    Google Scholar 

  2. Chretien, K.C., Kind, T.: Social media and clinical care ethical, professional, and social implications. Circulation 127(13), 1413–1421 (2013)

    Article  Google Scholar 

  3. Taylor, K.: Deliotte Solutions.How digital technology is Transforming Health and Social Care(2015)

    Google Scholar 

  4. Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inform. Sci. Syst. 2(1), 1 (2014)

    Article  Google Scholar 

  5. Raghupathi, W., Raghupathi, V.: An overview of health analytics. J. Health Med. Informat. 4, 132 (2013). doi:10.4172/2157-7420.1000132

    MATH  Google Scholar 

  6. Fan, Weiguo, Gordon, Michael D.: The power of social media analytics. Commun. ACM 57(6), 74–81 (2014)

    Article  Google Scholar 

  7. Cottle, M., Hoover, W., Kanwal, S., Kohn, M., Strome, T., Treister, N.: Transforming health care through big data strategies for Leveraging Big Data in the Health Care Industry. Institute for Health Technology Transformation. http://ihealthtran.com/big-data-in-healthcare (2013)

  8. Raghupathi, W., Kesh, S.: Interoperable electronic health records design: towards a service-oriented architecture. E-Serv. J. 5(3), 39–57 (2007)

    Article  Google Scholar 

  9. Borkar, V.R., Carey, M.J., Li, C.: Big data platforms: what’s next?. XRDS: crossroads. ACM Mag. Stud. 19(1), 44–49 (2012)

    Google Scholar 

  10. Ohlhorst, F. J.: Big Data Analytics: Turning Big Data into Big Money. John Wiley (2012)

    Google Scholar 

  11. Zikopoulos, P., Parasuraman, K., Deutsch, T., Giles, J., Corrigan, D.: Harness the Power of Big Data. The IBM Big Data Platform. McGraw Hill Professional (2012)

    Google Scholar 

  12. Zikopoulos, P., Eaton. C.: Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Osborne Media (2011)

    Google Scholar 

  13. Wiggin. D, Teradata.: Optimizing Social Media Analytics in Healthcare (2013)

    Google Scholar 

  14. Honigman, B.: 24 Outstanding Statistics and Figures on How Social Media has Impacted the Health Care Industry (2015)

    Google Scholar 

  15. Weeks, W.: 8 Exceptional Examples of Social Media Marketing in Healthcare (2015)

    Google Scholar 

  16. Adedoyin-Olowe, M: A Survey of Data Mining Techniques for Social Network Analysis (2013)

    Google Scholar 

  17. Marianne, K.M: Social Media: Teach Patients the Risks (2014)

    Google Scholar 

  18. HIMSS Privacy and Security Committee: Social Media in Healthcare: Privacy and Security Considerations (2013)

    Google Scholar 

  19. Nandi, S., et al.: Cellular Automata Based Encrypted ECG-hash Code Generation: An Application in Inter Human Biometric Authentication System (2014)

    Google Scholar 

  20. Biswas, S., Roy, A.B., Ghosh, K., Dey, N.: A biometric authentication based secured ATM banking system. Int. J. Adv. Res. Comput. Sci. Softw. Eng., 128X, 2 (4),2012

    Google Scholar 

  21. Bose, S., et al.: Effect of Watermarking in Vector Quantization based Image Compression (2014)

    Google Scholar 

  22. Suri, J.S., et al.: Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine (2016)

    Google Scholar 

  23. Pal, A.K., Dey, N., Samanta, S., Das, A., Chaudhuri, S.S.: A hybrid reversible watermarking technique for color biomedical images. In: IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (2013)

    Google Scholar 

  24. Acharjee, S., et al.: Watermarking in Motion Vector for Security Enhancement of Medical Videos (2014)

    Google Scholar 

  25. Islam, S.R., et al.: The Internet of Things for Healthcare: A Comprehensive Survey (2015)

    Google Scholar 

  26. Atzori. L., et al.: SIoT: The Social Internet of Things (2011)

    Google Scholar 

  27. Cruse, D.: 5 Essential and Easy Social Media Metrics You Should be Using Right Now (2012)

    Google Scholar 

  28. Demographic Pro [website] www.demographicspro.com

  29. Dunlop, D.: Demographic Analysis of Your Hospital’s Twitter Followers (2014)

    Google Scholar 

  30. American Medical Association-Principle of Medical Ethics.: http://www.ama-assn.org/ama/pub/physician-resources/medical-ethics/code-medical-ethics/principles-medical-ethics.page (2001)

  31. Ventola, C.L.: Social Media and Healthcare Professionals: Benefits, Risks and Best Practices (2014)

    Google Scholar 

  32. TRICARE Health Program www.tricare.mil

  33. Anderson, H.: TRICARE Breach Affects 4.9 Million (2011)

    Google Scholar 

  34. Friedel, S.L.: Pharma Challenges: Adverse Event Reporting And Social Media (2012)

    Google Scholar 

  35. Lee,. K.: Know What’s Working on Social Media: 19 Free Social Media Analytics Tools (2014)

    Google Scholar 

  36. Gilpin, L.: How an Algorithm Detected the Ebola Outbreak a Week Early, and What it could do Next (2014)

    Google Scholar 

  37. PubMed: Finding Systematic Reviews at PubMed Health www.ncbi.nlm.nih.gov/pubmedhealth/finding-systematic-reviews (2016)

  38. Alan, R.: MetaMap Variant Generation (2001)

    Google Scholar 

  39. Hung, D.: The Impact of Big Data on Social Media Marketing Strategies (2016)

    Google Scholar 

  40. Alkay, A., et al: Mining Social Media Big Data for Health (2015)

    Google Scholar 

  41. McKenna, M.: Polio Eradication: Is 2016 the Year? (2016)

    Google Scholar 

  42. Radice, R.: Top Social Media Trends That’ll Change Your Business in 2016

    Google Scholar 

  43. Beese, J.: 6 Social Media Trends That Will Take Over 2016

    Google Scholar 

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Acknowledgments

Thank you for your cooperation and contribution.

Author information

Authors and Affiliations

  1. SENSE, VIT University, Vellore, India

    Kiran Baktha

  2. SITE, VIT University, Vellore, India

    Mukul Dev & B. Balamurugan

  3. SCOPE, VIT University, Vellore, India

    Himanshu Gupta & Aman Agarwal

Authors
  1. Kiran Baktha
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  2. Mukul Dev
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  3. Himanshu Gupta
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  4. Aman Agarwal
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  5. B. Balamurugan
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Corresponding author

Correspondence to Kiran Baktha .

Editor information

Editors and Affiliations

  1. U & P U Patel Department of Computer Eng, Charotar University of Science and Tech U & P U Patel Department of Computer Eng, Changa, India

    Chintan Bhatt

  2. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  3. Faculty of Engineering, Tanta University Faculty of Engineering, Tanta, Egypt

    Amira S. Ashour

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© 2017 Springer International Publishing AG

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Baktha, K., Dev, M., Gupta, H., Agarwal, A., Balamurugan, B. (2017). Social Network Analysis in Healthcare. In: Bhatt, C., Dey, N., Ashour, A. (eds) Internet of Things and Big Data Technologies for Next Generation Healthcare. Studies in Big Data, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-49736-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-49736-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49735-8

  • Online ISBN: 978-3-319-49736-5

  • eBook Packages: EngineeringEngineering (R0)

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