Automatic extraction and identification of users’ responses in Facebook medical quizzes

Computer Methods and Programs in Biomedicine

Volumn 127, Issue , 2016, Pages 197-203

  Rodríguez González, Alejandro ^a   Menasalvas Ruiz, Ernestina ^a   Mayer Pujadas, Miguel A ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Data retrieval; Facebook; Health related websites; Medical quizzes

Indexed keywords

COMPUTER AIDED ANALYSIS; EXTRACTION; MEDICAL EDUCATION; SEARCH ENGINES;

AUTOMATIC EXTRACTION; COMPUTER-BASED METHODS; DATA RETRIEVAL; FACEBOOK; FACEBOOK PAGES; FALSE NEGATIVES; MEDICAL QUIZZES; SET OF QUESTIONS;

SOCIAL NETWORKING (ONLINE);

EXTRACTION; INFORMATION RETRIEVAL; INTERNET; MEDICINE; UNITED STATES; AUTOMATION; HUMAN; INFORMATION PROCESSING; MEDICAL EDUCATION; PROCEDURES; SOCIAL MEDIA;

AUTOMATION; DATA COLLECTION; EDUCATION, MEDICAL; HUMANS; INTERNET; SOCIAL MEDIA;

EID: 84953410439     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2015.12.025     Document Type: Article

References (32)

1. Rodríguez-González, A., Mayer, M.A., Fernández-Breis, J.T., Biomedical information through the implementation of social media environments. Biomed. Inf. 46:December (6) (2013), 955–956.
2. Krumm, J., Davies, N., Narayanaswami, C., User-generated content. IEEE Pervasive Comput. 7:October (4) (2008), 10–11.
3. Lupiáñez-Villanueva, F., Mayer, M.A., Torrent, J., Opportunities and challenges of Web 2.0 within the health care systems: an empirical exploration. Inf. Health Soc. Care 34:September (3) (2009), 117–126.
4. Eysenbach, G., Powell, J., Kuss, O., Sa, E.-R., Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA 287:May (20) (2002), 2691–2700.
5. Leis, Á., Mayer, M.Á., Torres Niño, J., Rodríguez-González, A., Suelves, J.M., Armayones, M., Healthy eating support groups on Facebook: content and features. Gac. Sanit. SESPAS 27:August (4) (2013), 355–357.
6. George, D.R., Dellasega, C., Use of social media in graduate-level medical humanities education: two pilot studies from Penn State College of Medicine. Med. Teach. 33:July (8) (2011), e429–e434.
7. Bahner, D.P., Adkins, E., Patel, N., Donley, C., Nagel, R., Kman, N.E., How we use social media to supplement a novel curriculum in medical education. Med. Teach. 34:March (6) (2012), 439–444.
8. Cheston, C.C., Flickinger, T.E., Chisolm, M.S., Social media use in medical education: a systematic review. Acad. Med. 88:June (6) (2013), 893–901.
9. USMLE Twitter Account. WebCite: http://www.webcitation.org/6ZftLWUXw.
10. Crush USMLE Twitter Account. WebCite: http://www.webcitation.org/6Zfu1F3z7.
11. Radiology Signs Facebook Page. WebCite: http://www.webcitation.org/6Zfu9eqf8.
12. Radiopaedia.org Facebook Page. WebCite: http://www.webcitation.org/6ZfuF9L87.
13. New England Journal of Medicine, Image Challenge Facebook App. WebCite: http://www.webcitation.org/6ZfuL6mIm.
14. New England Journal of Medicine, Interactive Medical Case. WebCite: http://www.webcitation.org/6ZfuSS5Eu.
15. Medical Quiz Facebook Page. WebCite: http://www.webcitation.org/6ZfuY0X5Q.
16. Medical Quizzes Facebook Page. WebCite: http://www.webcitation.org/6ZfueeruK.
17. Kim, S.-M., Hovy, E., Extracting Opinions, opinion holders, and topics expressed in online news media text. Proceedings of the Workshop on Sentiment and Subjectivity in Text, Stroudsburg, PA, USA, 2006, 1–8.
18. Shrivastava, M.A., Pant, B., Opinion extraction and classification of real time Facebook Status. Glob. J. Comput. Sci. Technol., 12(8), 2012 Apr.
19. Kim, J., Choi, D., Ko, B., Lee, E., Kim, P., Extracting user interests on Facebook. Int. J. Distrib. Sens. Netw., 2014(June), 2014, e146967.
20. Rieder, B., Studying Facebook via data extraction: the Netvizz application. Proceedings of the 5th Annual ACM Web Science Conference, New York, NY, USA, 2013, 346–355.
21. Gundecha, P., Liu, H., Mining social media: a brief introduction. New Directions in Informatics, Optimization, Logistics, and Production, INFORMS, 2012, 1–17.
22. Aliprandi, C., De Luca, A.E., Di Pietro, G., Raffaelli, M., Gazze, D., La Polla, M.N., Marchetti, A., Tesconi, M., CAPER: crawling and analysing Facebook for intelligence purposes. 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2014, 665–669.
23. Catanese, S.A., De Meo, P., Ferrara, E., Fiumara, G., Provetti, A., Crawling Facebook for social network analysis purposes. ArXiv11056307 Phys., 2011, 1.
24. A. Rodríguez González, M.A. Mayer-Pujadas, E. Menasalvas-Ruiz, NEJM FB Source Code. WebCite: http://www.webcitation.org/6Zfuo6T3r.
25. Facebook, Facebook Developers webpage. WebCite: http://www.webcitation.org/6Zfutl8VG.
26. Facebook, Graph API – Facebook developers. WebCite: http://www.webcitation.org/6Zfuy6O5L.
27. Apache Foundation, Properties file. WebCite: http://www.webcitation.org/6Zfv37Mcn.
28. Surowiecki, J., The Wisdom of Crowds: Why the Many are Smarter Than the Few and how Collective Wisdom Shapes Business, Economies, Societies, and Nations. 2004, Doubleday.
29. Friedman, C., Alderson, P.O., Austin, J.H., Cimino, J.J., Johnson, S.B., A general natural-language text processor for clinical radiology. J. Am. Med. Inf. Assoc. 1:2 (1994), 161–174.
30. Goryachev, S., Sordo, M., Zeng, Q.T., A suite of natural language processing tools developed for the I2B2 project. AMIA Annu. Symp. Proc., 2006, 2006, 931.
31. Savova, G.K., Masanz, J.J., Ogren, P.V., Zheng, J., Sohn, S., Kipper-Schuler, K.C., Chute, C.G., Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J. Am. Med. Inf. Assoc. JAMIA 17:October (5) (2010), 507–513.
32. Aronson, A.R., Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. Proc. AMIA Symp., 2001, 17–21.