Development and Application of a Chinese Webpage Suicide Information Mining System (Sims)

Journal of Medical Systems

Volumn 38, Issue 11, 2014, Pages

  Chen, Penglai ^a   Chai, Jing ^a   Zhang, Lu ^a   Wang, Debin ^a  

^a ANHUI MEDICAL UNIVERSITY   (China)

Author keywords

Blogs; Data mining; News; Suicide; Support system

Indexed keywords

ARTICLE; CHINESE; COMPUTER LANGUAGE; DATA ANALYSIS; DATA EXTRACTION; DATA MINING; FEMALE; HUMAN; INTERNET; MALE; MEDICAL INFORMATION SYSTEM; SEARCH ENGINE; SUICIDAL IDEATION; SUICIDE INFORMATION MINING SYSTEM; WEB BROWSER; AGE DISTRIBUTION; ALGORITHM; CHINA; EPIDEMIOLOGY; PROCEDURES; SEX RATIO; STATISTICS AND NUMERICAL DATA; SUICIDE; TRENDS;

AGE DISTRIBUTION; ALGORITHMS; CHINA; DATA MINING; FEMALE; HUMANS; INTERNET; MALE; SEARCH ENGINE; SEX DISTRIBUTION; SUICIDE;

EID: 84919934111     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0088-z     Document Type: Article

References (56)

1. Fleischmann, A., and Saxena, S., Suicide prevention in the WHO mental health gap action programme (mhGAP). Crisis 34:295–6, 2013. doi:10.1027/0227-5910/a000214.
2. Keshavan, M. S., Shenoy, S., and Li, H., Suicide in Asian Countries. Asian J Psychiatr 6:355, 2013. doi:10.1016/j.ajp.2013.08.063.
3. Zhang, J., and Lin, L., The Moderating Effects of Impulsivity on Chinese Rural Young Suicide. J Clin Psychol, 2013. doi:10.1002/jclp.22039.
4. Simon, M., Chang, E. S., Zeng, P., et al., Prevalence of Suicidal Ideation, Attempts, and Completed Suicide Rate in Chinese Aging Populations. A Systematic Review. Arch Gerontol Geriatr 57:250–256, 2013. doi:10.1016/j.archger.2013.05.006.
5. Lu, J., Xiao, Y., Xu, X., et al., The Suicide Rates in the Yunnan Province, a Multi-ethnic Province in Southwestern China. Int J Psychiatry Med 45:83–96, 2013.
6. Zhao, J., Zhao, J., Xiao, R., et al., Suicide exposure and its modulatory effects on relations between life events and suicide risk in Chinese college students. Nan Fang Yi Ke Da Xue Xue Bao 33:1111–6, 2013.
7. Chang, S. S., Page, A., and Gunnell, D., Internet searches for a specific suicide method follow its high-profile media coverage. Am J Psychiatry 168:855–7, 2011. doi:10.1176/appi.ajp.2011.11020284.
8. Ju Ji, N., Young Lee, W., Seok Noh, M., and Yip, P. S., The impact of indiscriminate media coverage of a celebrity suicide on a society with a high suicide rate: epidemiological findings on copycat suicides from South Korea. J Affect Disord 156:56–61, 2014. doi:10.1016/j.jad.2013.11.015.
9. Hegerl, U., Koburger, N., Rummel-Kluge, C., Gravert, C., Walden, M., and Mergl, R., One followed by many?-Long-term effects of a celebrity suicide on the number of suicidal acts on the German railway net. J Affect Disord 146:39–44, 2013. doi:10.1016/j.jad.2012.08.032.
10. Gould, M. S., Suicide and the media. Ann N Y Acad Sci 932:200–21, 2001.
11. Nakamura, M., Yasunaga, H., Toda, A. A., et al., The impact of media reports on the 2008 outbreak of hydrogen sulfide suicides in Japan. Int J Psychiatry Med 44:133–40, 2012.
12. Dunlop, S. M., More, E., and Romer, D., Where do youth learn about suicides on the Internet, and what influence does this have on suicidal ideation? J Child Psychol Psychiatry 52:1073–80, 2011. doi:10.1111/j.1469-7610.2011.02416.x. Epub 2011 Jun 10.
13. Sisask, M., and Värnik, A., Media roles in suicide prevention: a systematic review. Int J Environ Res Public Health 9:123–38, 2012. doi:10.3390/ijerph9010123.
14. Niederkrotenthaler, T., Voracek, M., Herberth, A., et al., Role of media reports in completed and prevented suicide: Werther v. Papageno effects. Br J Psychiatry 197:234–43, 2010. doi:10.1192/bjp.bp.109.074633.
15. Niederkrotenthaler, T., and Sonneck, G., Assessing the impact of media guidelines for reporting on suicides in Austria: Interrupted time series analysis. Aust N Z J Psychiatry 41:419–428, 2007.
16. Phillips, D. P., The influence of suggestion on suicide: substantive and theoretical implications of the Werther effect. Am Sociol Rev 39:340–54, 1974.
17. Stack, S., The effect of the media on suicide: evidence from Japan, 1955–1985. Suicide Life Threat Behav 26(2):132–42, 1996.
18. Yip, P. S., Fu, K. W., Yang, K. C., et al., The effects of a celebrity suicide on suicide rates in Hong Kong. J Affect Disord 93:245–52, 2006.
19. Cheng, A. T., Hawton, K., Chen, T. H., et al., The influence of media coverage of a celebrity suicide on subsequent suicide attempts. J Clin Psychiatry 68:862–6, 2007.
20. Bragazzi, N. L., A Google Trends-based approach for monitoring NSSI. Psychol Res Behav Manag 7:1–8, 2013. doi:10.2147/PRBM.S44084.
21. Whitlock, J. L., Powers, J. L., and Eckenrode, J., The virtual cutting edge: the internet and adolescent self-injury. Dev Psychol 42:407–17, 2006.
22. Birbal, R., Maharajh, H. D., Birbal, R., et al., Cybersuicide and the adolescent population: challenges of the future? Int J Adolesc Med Health 21:151–159, 2009.
23. Kemp, C. G., and Collings, S. C., Hyperlinked suicide: assessing the prominence and accessibility of suicide websites. Crisis 32:143–51, 2011. doi:10.1027/0227-5910/a000068.
24. Gunn, J. F., and Lester, D., Using google searches on the internet to monitor suicidal behavior. J Affect Disord 148:411–2, 2013. doi:10.1016/j.jad.2012.11.004.
25. Sueki, H., Does the volume of Internet searches using suicide-related search terms influence the suicide death rate: data from 2004 to 2009 in Japan. Psychiatry Clin Neurosci 65:392–394, 2011. doi:10.1111/j.1440-1819.2011.02216.x.
26. Hagihara, A., Miyazaki, S., and Abe, T., Internet suicide searches and the incidence of suicide in young people in Japan. Eur Arch Psychiatry Clin Neurosci 262:39–46, 2012. doi:10.1007/s00406-011-0212-8.
27. Yang, A. C., Tsai, S. J., Huang, N. E., et al., Association of Internet Search Trends with Suicide Death in Taipei City, Taiwan, 2004–2009. J Affect Disord 132:179–184, 2011. doi:10.1016/j.jad.2011.01.019.
28. Recupero, P. R., Harms, S. E., and Noble, J. M., Googling suicide: surfing for suicide information on the internet. J Clin Psychitary 69:878–888, 2008.
29. Eysenbach, G., Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. Am J Prev Med 40:S154–S158, 2011. doi:10.1016/j.amepre.2011.02.006.
30. Eysenbach, G., Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res 11:e11, 2009. doi:10.2196/jmir.1157.
31. Schwartz, K. D., Lutfiyya, Z. M., et al., In Pain Waiting to Die’: Everyday Understandings of Suffering. Palliat Support Care 10:27–36, 2012. doi:10.1017/S1478951511000551.
32. Cash, S. J., Thelwall, M., Peck, S. N., Ferrell, J. Z., and Bridge, J. A., Adolescent suicide statements on MySpace. Cyberpsychol Behav Soc Netw 16:166–74, 2013. doi:10.1089/cyber.2012.0098.
33. Ruder, T. D., Hatch, G. M., Ampanozi, G., Thali, M. J., and Fischer, N., Suicide announcement on Facebook. Crisis 32:280–2, 2011. doi:10.1027/0227-5910/a000086.
34. Lester, D., Linguistic Analysis of a Blog from a Murder-suicide. Psychol Rep 106:342, 2010.
35. Ogburn, K. M., Messias, E., and Buckley, P. F., New-age Patient Communications through Social Networks. Gen Hosp Psychiatry 33:200.e1–3, 2011.
36. Bragazzi, N. L., From P0 to P6 medicine, a model of highly participatory, narrative, interactive, and “augmented” medicine: some considerations on Salvatore Iaconesi’s clinical story. Patient Prefer Adherence 7:353–9, 2013. doi:10.2147/PPA.S38578.
37. Tatsis, V. A., Tjortjis, C., and Tzirakis, P., Evaluating Data Mining Algorithms Using Molecular Dynamics Trajectories. Int J Data Min Bioinform 8:169–87, 2013.
38. Gurulingappa, H., Toldo, L., Rajput, A. M., et al., Automatic Detection of Adverse Events to Predict Drug Label Changes Using Text and Data Mining Techniques. Pharmacoepidemiol Drug Saf 22:1189–94, 2013. doi:10.1002/pds.3493.
39. Wang, Y. F., Chang, M. Y., Chiang, R. D., et al., Mining medical data: a case study of endometriosis. J Med Syst 37:9899, 2013. doi:10.1007/s10916-012-9899-y.
40. Shen, C. P., Jigjidsuren, C., and Dorjgochoo, S., A data-mining framework for transnational healthcare system. J Med Syst 36:2565–75, 2012. doi:10.1007/s10916-011-9729-7.
41. Vest, J. R., Jasperson ’S. How are health professionals using health information exchange systems? Measuring usage for evaluation and system improvement. J Med Syst 36:3195–204, 2012. doi:10.1007/s10916-011-9810-2.
42. McCarthy, M. J., Internet monitoring of suicide risk in the population. J Affect Disord 122:277–279, 2010. doi:10.1016/j.jad.2009.08.015.
43. Song, T. M., Song, J., An, J. Y., Hayman, L. L., and Woo, J. M., Psychological and social factors affecting Internet searches on suicide in Korea: a big data analysis of Google search trends. Yonsei Med J 55:254–63, 2014. doi:10.3349/ymj.2014.55.1.254.
44. Lai, M. H., Maniam, T., Chan, L. F., and Ravindran, A. V., Caught in the web: a review of web-based suicide prevention. J Med Internet Res 16:e30, 2014. doi:10.2196/jmir.2973.
45. Katase, H., Kanazawa, M., Inokoshi, M., et al., Face Simulation System for Complete Dentures by Applying Rapid Prototyping. J Prosthet Dent 109:353–360, 2013. doi:10.1016/S0022-3913(13)60316-9.
46. Cruz, J. A., and Wishart, D. S., Applications of Machine Learning in Cancer Prediction and Prognosis. Cancer Inform 2:59–77, 2007.
47. Stormo, G. D., Schneider, T. D., Gold, L., et al., Use of the “Perceptron” algorithm to distinguish translational initiation sites in E. coli. Nucleic Acids Res 10:2997–3011, 1982.
48. DeLisle, S., Kim, B., Deepak, J., et al., Using the Electronic Medical Record to Identify Community-Acquired Pneumonia: Toward a Replicable Automated Strategy. PLoS ONE 8:e70944, 2013. doi:10.1371/journal.pone.0070944.
49. Moratilla, J. M., Alonso-Calvo, R., Molina-Vaquero, G., et al., A Data Model Based on Semantically Enhanced HL7 RIM for Sharing Patient Data of Breast Cancer Clinical Trials. Stud Health Technol Inform 192:971, 2013.
50. Ougrin, D., Banarsee, R., Dunn-Toroosian, V., et al., Suicide Survey in a London Borough: Primary Care and Public Health Perspectives. J Public Health (Oxf) 33:385–391, 2011. doi:10.1093/pubmed/fdq094.
51. Niederkrotenthaler, T., Till, B., Herberth, A., et al., The Gap Between Suicide Characteristics in the Print Media and in the Population. Eur J Public Health 19:361–364, 2009. doi:10.1093/eurpub/ckp034.
52. van Ballegooijen, W., Riper, H., Klein, B., et al., An Internet-Based Guided Self-Help Intervention for Panic Symptoms: Randomized Controlled Trial. J Med Internet Res 15:e154, 2013. doi:10.2196/jmir.2362.
53. Ryhänen, A. M., Rankinen, S., Tulus, K., et al., Internet based patient pathway as an educational tool for breast cancer patients. Int J Med Inform 81:270–278, 2012. doi:10.1016/j.ijmedinf.2012.01.010.
54. Black, E., Light, J., Paradise Black, N., et al., Online Social Network Use by Health Care Providers in a High Traffic Patient Care Environment. J Med Internet Res 15:e94, 2013. doi:10.2196/jmir.2421.
55. Dobson, R., Internet sites may encourage suicide. BMJ 319:337, 1999.
56. Manning, J., and Vandeusen, K., Suicide prevention in the dot com era: technological aspects of a university suicide prevention program. J Am Coll Health 59:431–3, 2011. doi:10.1080/07448480903540507.