A supervised machine learning study of online discussion forums about type-2 diabetes

2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017

Volumn 2017-December, Issue , 2017, Pages 1-7

  Reichert, Jonathan Raphael ^a   Kristensen, Klaus Langholz ^a   Mukkamala, Raghava Rao ^a,b   Vatrapu, Ravi ^a,b  

^a Copenhagen Business School ^*  (Denmark)

^b WESTERDALS OSLO SCHOOL OF ARTS   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); E-LEARNING; ONLINE SYSTEMS; SOCIAL NETWORKING (ONLINE); SUPERVISED LEARNING; TEXT PROCESSING;

DISCUSSION FORUM; ENSEMBLE LEARNING; ON-LINE COMMUNITIES; ONLINE DISCUSSION FORUMS; PERSONALITY TRAITS; SUPERVISED MACHINE LEARNING; TEXT CLASSIFICATION; TEXT CLASSIFIERS;

LEARNING ALGORITHMS;

EID: 85048523574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HealthCom.2017.8210815     Document Type: Conference Paper

References (29)

1. S. Fox and M. Duggan, "Health online 2013, " Washington, DC: Pew Internet & American Life Project, 2013.
2. A. Kotov, Healthcare data analytics. Chapman and Hall/CRC, 2015, ch. Social Media Analytics for Healthcare., pp. 309-340.
3. N. Straton, K. Hansen, R. R. Mukkamala, A. Hussain, T.-M. Gronli, H. Langberg, and R. Vatrapu, "Big social data analytics for public health: Facebook engagement and performance, " in 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, 2016, pp. 1-6.
4. D. C. K. af Rosenborg, I. Buhl-Andersen, L. B. Nilsson, M. P. Rebild, R. R. Mukkamala, A. Hussain, and R. Vatrapu, "Buzz vs. sales: Big social data analytics of style icon campaigns and fashion designer collaborations on h&m's facebook page, " in 50th Hawaii International Conference on System Sciences, HICSS 2017, Hilton Waikoloa Village, Hawaii, USA, January 4-7, 2017, 2017.
5. D. Ravi, C. Wong, F. Deligianni, M. Berthelot, J. Andreu-Perez, B. Lo, and G. Z. Yang, "Deep learning for health informatics, " IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 4-21, Jan 2017.
6. N. Straton, R. R. Mukkamala, and R. Vatrapu., "Big social data analytics for public health: Predicting facebook post performance using artificial neural networks and deep learning. " in In proceedings of IEEE International Congress on Big Data (IEEEBigdata-2017), 2017.
7. S. P. Collins, "The youngest case of type 2 diabetes ever recorded highlights an 'emerging epidemic', " https://thinkprogress. org/ the-youngest-case-of-type-2-diabetes-ever-recorded-highlights-an-emerging-epidemic-2015.
8. G. Day and C. Moorman, Strategy from the outside in: Profiting from customer value. McGraw Hill Professional, 2010.
9. G. J. Johnson and P. J. Ambrose, "Neo-tribes: The power and potential of online communities in health care, " Communications of the ACM, vol. 49, no. 1, pp. 107-113, 2006.
10. E. Wenger, N. White, and J. D. Smith, Digital habitats: Stewarding technology for communities. CPsquare, 2009.
11. R. Robertson et al., "Glocalization: Time-space and homogeneityheterogeneity, " Global modernities, vol. 2, pp. 25-45, 1995.
12. S. Ilioudi, A. A. Lazakidou, N. Glezakos, and M. Tsironi, "Healthrelated virtual communities and social networking services, " in Virtual Communities, Social Networks and Collaboration. Springer, 2012, pp. 1-13.
13. W. A. Fisher, J. D. Fisher, and J. Harman, "The information-motivationbehavioral skills model: A general social psychological approach to understanding and promoting health behavior, " Social psychological foundations of health and illness, pp. 82-106, 2003.
14. K. Amico, J. Toro-Alfonso, and J. D. Fisher, "An empirical test of the information, motivation and behavioral skills model of antiretroviral therapy adherence, " AIDS care, vol. 17, no. 6, pp. 661-673, 2005.
15. M. De Choudhury, "Opportunities of social media in health and wellbeing, " XRDS: Crossroads, The ACM Magazine for Students, vol. 21, no. 2, pp. 23-27, 2014.
16. J. A. Greene, N. K. Choudhry, E. Kilabuk, and W. H. Shrank, "Online social networking by patients with diabetes: a qualitative evaluation of communication with facebook, " Journal of general internal medicine, vol. 26, no. 3, pp. 287-292, 2011.
17. R. V. Kozinets, Netnography: Doing ethnographic research online. Sage publications, 2010.
18. R. Langer and S. C. Beckman, "Sensitive research topics: netnography revisited, " Qualitative Market Research: An International Journal, vol. 8, no. 2, pp. 189-203, 2005.
19. R. Plutchik, Emotions and life: Perspectives from psychology, biology, and evolution. American Psychological Association, 2003.
20. J. M. Digman, "Personality structure: Emergence of the five-factor model, " Annual review of psychology, vol. 41, no. 1, pp. 417-440, 1990.
21. Dartmouth-Hitchcock, "A typical patient's journey: Diabetes, " http://www. dartmouth-hitchcock. org/diabetes/a typical patients journey diabetes. html, 2017.
22. K. Krippendorff, "Content analysis, " in International Encyclopedia of Communication. Oxford University Press, 1989.
23. T. G. Dietterich, "Ensemble learning, " The handbook of brain theory and neural networks, vol. 2, pp. 110-125, 2002.
24. A. McCallum, K. Nigam et al., "A comparison of event models for naive bayes text classification, " in AAAI-98 workshop on learning for text categorization, vol. 752. Madison, WI, 1998, pp. 41-48.
25. J. A. Suykens and J. Vandewalle, "Least squares support vector machine classifiers, " Neural processing letters, vol. 9, no. 3, pp. 293-300, 1999.
26. A. Y. Ng and M. I. Jordan, "On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes, " in Advances in neural information processing systems, 2002, pp. 841-848.
27. K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer, "Online passive-aggressive algorithms, " Journal of Machine Learning Research, vol. 7, no. Mar, pp. 551-585, 2006.
28. S. Shalev-Shwartz, Y. Singer, N. Srebro, and A. Cotter, "Pegasos: Primal estimated sub-gradient solver for svm, " Mathematical programming, vol. 127, no. 1, pp. 3-30, 2011.
29. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay, "Scikit-learn: Machine learning in python, " J. Mach. Learn. Res., vol. 12, pp. 2825-2830, Nov. 2011. [Online]. Available: http://dl. acm. org/citation. cfm?id=1953048. 2078195