Exploring health-related topics in online health community using cluster analysis

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2013, Pages 802-811

  Lu, Yingjie ^a   Zhang, Pengzhu ^a   Deng, Shasha ^a  

^a Shanghai Jiao Tong University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; DISCUSSION BOARDS; DOCUMENT CLUSTERING; DOMAIN SPECIFIC; DOMAIN-SPECIFIC KNOWLEDGE; ONLINE HEALTH COMMUNITIES; SIGNIFICANT DIFFERENCES; TEXT CLUSTERING;

CLUSTER ANALYSIS; HEALTH CARE; KNOWLEDGE MANAGEMENT; SYSTEMS SCIENCE;

HEALTH;

EID: 84875524483     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2013.216     Document Type: Conference Paper

References (30)

1. Anderson, J. G., Rainey, M. R., and Eysenbach, G., "The impact of cyberhealthcare on the physicianpatient relationship", Journal of Medical Systems, 2003, pp. 67-84.
2. Bansil, P., Keenan, N. L., Zlot, A. I., and Gilliland, J. C., "Health-related information on the web: results from the HealthStyles survey, 2002-2003", Preventing Chronic Disease: Public Health Research, Practice, and Policy, 2006, pp. 1-10.
3. Basch EM, Thaler HT, Shi W, et al., "Use of information resources by patients with cancer and their companions", Cancer, 2004, pp. 2476-2483.
4. Blei, D. M., A. Y. Ng, et al., "Latent dirichlet allocation", J Mach Learn Res, 2003(3), pp. 993-1022.
5. Brody S, Elhadad N, "Detecting salient aspects in online reviews of health providers", AMIA 2010, pp. 202-206.
6. Buis LR,Comparison of Social Support Content Within Online Communities for High-and Low-Survival-Rate Cancers.Computers Informatics Nursing, 2011, pp. 461-467
7. Castleton K, Fong T, Wang-Gillam A, Waqar MA, Jeffe DB, Kehlenbrink L, Gao F, Govindan R, "A survey of Internet utilization among patients with cancer", Support Care Cancer, 2011, pp. 1183-1190.
8. Chen AT, "Exploring online support spaces: Using cluster analysis to examine breast cancer, diabetes and fibromyalgia support groups", Patient Education and Counseling, 2011.
9. Denecke K, and Nejdl W, "How valuable is medical social media data? Content analysis of the medical web", Inf Sci 2009, pp. 1870-1880.
10. Dickerson, S. S., Boehmke, M., Ogle, C., and Brown, J. K, "Seeking and managing hope: Patients' experiences using the internet for cancer care", Oncology Nursing Forum, 2006, 33 (1), pp. E8-17.
11. Finn, J., "An exploration of helping processes in an online self-help group focusing on issues of disability", Health and Social Work, 1999, pp. 220-231.
12. Fox S, Jones S., "The social life of health information. Pew Internet", Available from: www.pewinternet.org/Reports/2009/8-The-Social- Lifeof-Health-Information.aspx, 2009.
13. Gerber, B. S., and Eiser, A. R., "The patientphysician relationship in the internet age: future prospects and the research agenda", Journal of Medical Internet Research, 2001, 3(2), e15.
14. Griffiths, T. L. and M. Steyvers, "Finding scientific topics", Proceedings of the National Academy of Sciences of the United States of America, 2004, pp. 5228-5235.
15. Halkidi, M., Batistakis,Y., and Vazirgiannis, M, "On Clustering Validation Techniques", Journal of Intelligent Information Systems, 2001, pp. 107-145.
16. He, X., C. H. Q. Ding, et al., "Automatic topic identification using webpage clustering", Data Mining, ICDM 2001, Proceedings IEEE International Conference, 2001.
17. Hofmann, T, "Unsupervised Learning by Probabilistic Latent Semantic Analysis", Machine Learning, 2001, pp. 177-196.
18. Kandula S, Curtis D, Hill B, and Zeng-Treitler Q, "Use of topic modeling for recommending relevant education material to diabetic patients", AMIA Annu Symp Proc.2011, pp. 674-682.
19. Kinnane, N and Milne, D., "The Role of the Internet in Supporting and Informing Carers of People with Cancer: a Literature Review", Support Care Cancer, 2010, pp. 1123-1136.
20. Klemm P and Nolan MT, "Internet cancer support groups: legal and ethical issues for nurse researchers", Oncology Nursing Forum, 1998, 25, pp. 673-676.
21. Li N., and Wu D.D., "Using text mining and sentiment analysis for online forums hotspot detection and forecast", Decision Support Systems, 2010, pp. 354-368.
22. Lin Y, Li W, Chen K, and Liu Y., "A document clustering and ranking system for exploring MEDLINE citations", J Am Med Inform Assoc, 2007, pp. 651-61.
23. Monnier, J., Laken, M., and Carter, C. L., "Patient and caregiver interest in Internet-based cancer services", Cancer Practice, 2002, pp. 305-310.
24. Patterson O, and Hurdle JF., "Document clustering of clinical narratives: a systematic study of clinical sublanguages", AMIA Annu Symp Proc, 2011, pp. 1099-1106.
25. Salton G, Wong A, and Yang C,S., "A vector space model for automatic indexing", Communication of ACM, 1975, pp. 613-620.
26. Schultz Pamela N, Stava Charles, Beck Martha L, and Vassilopoulou-sellin Rena, "Internet message board use by patients with cancer and their families", Clin J Oncol Nurs, 2003, pp. 663-667.
27. T. Tyson, "The Internet: tomorrow's portal to non-traditional health care services", J Ambul Care Manage, 2000, pp. 1-7.
28. Umefjord, G., Petersson, G., and Hamberg, K., "Reasons for consulting a doctor on the internet: web survey of users of an Ask the Doctor Service", Journal of Medical Internet Research, 2003, 5 (4), e26.
29. Witten, I. and Frank, E., "Data Mining: Practical Machine Learning Tools and Techniques", san Fransisco: Morgan Kaufmann Publishers.2005.
30. Zhu S, Zeng J, and Mamitsuka H., "Enhancing MEDLINE document clustering by incorporating MeSH semantic similarity", Bioinformatics, 2009, pp. 1944-1951.