Social media analysis for e-health and medical purposes

Proceedings of the 2011 International Conference on Computational Aspects of Social Networks, CASoN'11

Volumn , Issue , 2011, Pages 278-283

  Wegrzyn Wolska, Katarzyna ^a   Bougueroua, Lamine ^a   Dziczkowski, Grzegorz ^b  

^a ESIGETEL   (France)

^b ASCI   (France)

Author keywords

Data Mining; Social Media; Social Network Analysis; Text Mining

Indexed keywords

E HEALTH; EXPONENTIAL RATES; FIRST LOOK; ISSUES AND CHALLENGES; MEDICAL SCIENCE; PREDICTION SYSTEMS; SOCIAL MEDIA; SOCIAL MEDIA ANALYSIS; SOCIAL NETWORK ANALYSIS; TEXT MINING; TEXT MINING ANALYSIS;

DATA MINING; SOCIAL NETWORKING (ONLINE);

MEDICAL COMPUTING;

EID: 84055193532     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CASON.2011.6085958     Document Type: Conference Paper

References (33)

1. Ananidu S., Text Mining for Biology and Biomedicine,Boston and London: Artech House, 2006, 286 pp; hardbound, ISBN 1-58053-984-X
2. Bruijn B, Martin J., Getting to the (c)ore of knowledge: mining biomedical literature. Int J Med Inf 2002;67(1-3), pp.7-18. (Pubitemid 35385643)
3. Barnes S., Golden B.& Wasil E. A dynamic patient network model of hopital-acquired infections in Proceedings of the 2010 Winter Simulation Conference, 2010
4. Bandemer,H. and Gottwald,S.,Fuzzy sets, Fuzzy Logic, Fuzzy Methods with Applications., John Wiley and Sons,1995
5. Cauchemeza S.,Bhattaraib A., Marchbanksc T.L., Faganb R.P., Ostroffc S., Fergusona N.M.,Swerdlowb D. and the Pennsylvania H1N1 working group b,c,2 Role of social networks in shaping disease transmission during a community outbreak of 2009 H1N1 pandemic influenza Edited by David Cox, Nuffield College, Oxford, United Kingdom, and approved December 22, 2010
6. Cohen M., A Survey of Current Work in Biomedical Text Mining, Briefings in Bioinformatics, Vol. 6, No. 1.,pp.57-71, 2005
7. Chanut C.,Boyer L.,Robitail S., Horte C., Jacqueme B., Giusiano B., Mabriez J.C. & Auquier P. Applying social network analysis to the health system (orig. title L'analyse des réseaux sociaux appliqué au systeme e); Sant publique 2005, volume 17, no 3, pp. 403-415
8. Dagan, I., Karov, Y., & Roth, D. 1997. Mistakedriven learning in text categorization. 2nd Conference on Empirical Methods in Natural Language Processing, EMNLP-97, 5563.
9. Drucker, H., Vapnik, V., & Wu, D. 1999.Automatic text categorization and its applications to text retrieval. IEEE Trans. Neural Netw., 10, 10481054.
10. Dziczkowski G, Wegrzyn-Wolska K., Graph Based Ssystem purpose-built for automatic retrieval and extraction of the electonics, In Proceding of "Internet and Multimedia Systems and Applications" IASTED, 2007
11. Ginsberg, J. M.Mohebbi H., Patel R. S., Brammer L., Smolinski M. S., Brilliant L. . Detecting influenza epidemics using search engine query data. Nature, 457(7232):10121014, 2008.
12. Hirshman L, Morgan AA, Yeh AS., Rutabaga by any other name: extracting biological names. J Biomed Inform, 2002, 35(4), pp. 247-59 (Pubitemid 36411748)
13. IIbekwe-Sanjuan F, Fouille de texte, methods, outils et applications, Hermes Science, LAVOISIR, 2007
14. Joachims, T. 1999. Transductive inference for text classification using support vector machines. 16th International Conference on Machine Learning, ICML-99, 200209.
15. Lodhi,H. and Cristianini,N. and Shave-Taylor,J and Watkins,C., Text classification using string kernel., Advances in Neural Information Processing System, MIT Press, 2001
16. Lewis, D. D., & Gale, W. A. 1994. A sequential algorithm for training text classifiers. 17th ACM International Conference on Research and Development in Information Retrieval, SIGIR-94, 312.
17. Mitchell, T.M. 1996. Machine Learning. McGraw Hill
18. Ma, X., Chen, G., Xiao, J. Analysis of An Online Health Social Network.; In Proceedings of the 1st ACM International Health Informatics Symposium IHI 10 (pp. 297-306). New York, NY, 2010; ISBN: 978-1- 4503-0030-8
19. Novickova S, Egrov S, Daraselia N., MedScan, a natural language processing engine for MEDLINE abstracts. Bioinformatics 2003;19(13):1699-706. (Pubitemid 37121159)
20. Pazienza, M. T. 1997. Information Extraction. In : Lecture Notes in Computer Science Vol. 1299.
21. Porter, W. A. 1980.Synthesis of polynomic systems. j-SIAM-J-MATHANA, 11, 308315.
22. Ritterman J., Osborne M., Klein E. Using prediction Markets and Twitter to predict a Swine Flu Pandemic In Proceedings of the 1st International Workshop on Mining Social Media, November 2009
23. Schmid, H. 1994. Part-of-Speech Tagging with Neural Network. 15th conference on Computational linguistics, 1, 172176.
24. Shannon, C. 1948. A mathematical theory of communication. Bell System Technical Journal, 27, Bell System Technical Journal.
25. Szomszor M.,Kostkova P., De Quincey E. swineflu : Twitter predicts swine flu outbreak in 2009; In Proceeding of 3rd International ICST Conference on Electronic Healthcare for the 21st century December 2009
26. Spasic I., Ananiadu S, McNaught J, Kumar A, Text mining and ontologies in biomedicine: making sense of raw text. Brief Bioinform, Vol. 6, No. 3., pp. 239-251, September 2005. (Pubitemid 41614546)
27. SWANSON DR., Medical literature as a potential source of new knowledge. Bull Med Libr Assoc 1990;78(1), pp. 29-37.
28. Voorhess, E.M. 1999. Natural language processing and information retrieval. Information extraction, toward scalable, adaptable systems, Lecture Notes in Computer Science, 3248.
29. Wang, Y., Hodges, J., & Tang, B. 2005. Classification of Web Documents using Naive Bayes Method. IEEE, 1, 560564.
30. Wegrzyn-Wolska K, Etude et realisation d'un robot pour la recherche medical d'information sur le Web, Rapport DEA d'Informatique, Universit d'Evry
31. Wegrzyn-Wolska K, Szczepaniak P., Classification of RSS-formatted Documents using Full Text SimilarityMeasures, In proceeding of 5th International Conference, ICWE 2005, Sydney, Australia
32. Wegrzyn-Wolska K. M. et Dziczkowki G. et Bougueroua L., Linking the drugs and pharmaceutical databases. In proceeding of the 5th International conference on next generation web services practices - NWeSP'2009, Prague,9-11 September.
33. Yang, Y., & Liu, X. 1999. A re-examination of text categorization methods. 22nd ACM International Conference on Research and Development in Information Retrieval, SIGIR-99, 4249.