Skip to main content
SpringerLink
Log in

Computational Terminology in eHealth

  • Conference paper
  • First Online:
Digital Libraries: Supporting Open Science (IRCDL 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 988))

Included in the following conference series:

  • 914 Accesses

Abstract

In this paper, we present a methodology for the development of a new eHealth resource in the context of Computational Terminology. This resource, named TriMED, is a digital library of terminological records designed to satisfy the information needs of different categories of users within the healthcare field: patients, language professionals and physicians. TriMED offers a wide range of information for the purpose of simplification of medical language in terms of understandability and readability. Finally, we present two applications of our resource in order to conduct different types of studies in particular in Information Retrieval and Literature Analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.gsma.com/mobilefordevelopment/wp-content/uploads/2012/05/Role-and-Value-of-MNOs-in-eHealth1.pdf.

  2. 2.

    https://www.everydayhealth.com/.

  3. 3.

    https://www.medscape.com/.

  4. 4.

    https://www.snomed.org/.

  5. 5.

    http://consumerhealthvocab.chpc.utah.edu/CHVwiki/.

  6. 6.

    http://www.springer.com/medicine/oncology/journal/10549.

  7. 7.

    https://www.aimac.it.

  8. 8.

    http://www.afsos.org.

  9. 9.

    https://gmdn.shinyapps.io/TriMED/.

  10. 10.

    https://wordnet.princeton.edu/.

  11. 11.

    https://www.merriam-webster.com/.

  12. 12.

    https://www.medilexicon.com/.

  13. 13.

    https://www.btb.termiumplus.gc.ca/tpv2alpha/alpha-fra.html.

  14. 14.

    http://www.salute.gov.it/portale/home.html.

  15. 15.

    https://www.gutenberg.org.

  16. 16.

    https://cran.r-project.org/web/packages/tidytext/.

  17. 17.

    https://opensource.org/licenses.

References

  1. Ali, T., Schramm, D., Sokolova, M., Inkpen, D.: Can I hear you? Sentiment analysis on medical forums. In: IJCNLP, pp. 667–673 (2013)

    Google Scholar 

  2. Bouamor, D., Llanos, L.C., Ligozat, A., Rosset, S., Zweigenbaum, P.: Transfer-based learning-to-rank assessment of medical term technicality. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation, LREC 2016, Portorož, Slovenia, 23–28 May 2016 (2016)

    Google Scholar 

  3. Bourigault, D., Jacquemin, C., L’Homme, M.: Recent Advances in Computational Terminology. Natural Language Processing. J. Benjamins Publishing Company (2001). https://books.google.it/books?id=0eX8HtA7mQIC

  4. de Buenaga, M., Maña, M., Gachet, D., Mata, J.: The SINAMED and ISIS projects: applying text mining techniques to improve access to a medical digital library. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds.) ECDL 2006. LNCS, vol. 4172, pp. 548–551. Springer, Heidelberg (2006). https://doi.org/10.1007/11863878_65

    Chapter  Google Scholar 

  5. Chang, W.: Shiny: Web Application Framework for R (2015). http://CRAN.R-project.org/package=shiny, r package version 0.11

  6. Cimino, J.J.: Terminology tools: state of the art and practical lessons. Methods Inf. Med. 40(04), 298–306 (2001)

    Article  Google Scholar 

  7. Detmar, S.B., Muller, M.J., Schornagel, J.H., Wever, L.D., Aaronson, N.K.: Health-related quality-of-life assessments and patient-physician communication: a randomized controlled trial. JAMA 288(23), 3027–3034 (2002)

    Article  Google Scholar 

  8. Di Nunzio, G.M.: A study of an automatic stopping strategy for technologically assisted medical reviews. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 672–677. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76941-7_61

    Chapter  Google Scholar 

  9. Di Nunzio, G.M., Beghini, F., Vezzani, F., Henrot, G.: An interactive two-dimensional approach to query aspects rewriting in systematic reviews. IMS unipd at CLEF ehealth task 2. In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11–14 September 2017 (2017). http://ceur-ws.org/Vol-1866/paper_119.pdf

  10. Di Nunzio, G.M., Ciuffreda, G., Vezzani, F.: Interactive sampling for systematic reviews. IMS unipd at CLEF 2018 ehealth task 2. In: Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, 10–14 September 2018 (2018)

    Google Scholar 

  11. Di Nunzio, G.M., Vezzani, F.: Using R markdown for replicable experiments in evidence based medicine. In: Bellot, P., et al. (eds.) CLEF 2018. LNCS, vol. 11018, pp. 28–39. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98932-7_3

    Chapter  Google Scholar 

  12. DuBay, W.H.: The principles of readability. Online Submission (2004)

    Google Scholar 

  13. Elhadad, N., Sutaria, K.: Mining a lexicon of technical terms and lay equivalents. In: Proceedings of BioNLP Workshop, pp. 49–56. ACL (2007)

    Google Scholar 

  14. Epstein, R.M., et al.: Measuring patient-centered communication in patient-physician consultations: theoretical and practical issues. Soc. Sci. Med. 61(7), 1516–1528 (2005)

    Article  Google Scholar 

  15. Eysenbach, G.: Poverty, human development, and the role of ehealth. J. Med. Internet Res. 9(4), e34 (2007)

    Article  Google Scholar 

  16. Ferguson, L.A., Pawlak, R.: Health literacy: the road to improved health outcomes. J. Nurse Pract. 7(2), 123–129 (2011). https://doi.org/10.1016/j.nurpra.2010.11.020. http://www.sciencedirect.com/science/article/pii/S1555415510005519

    Article  Google Scholar 

  17. Firth, J.R.: A synopsis of linguistic theory, 1930–1955. In: Studies in Linguistic Analysis (1957)

    Google Scholar 

  18. Gibbons, M.C.: eHealth Solutions for Healthcare Disparities, 1st edn. Springer Publishing Company, Incorporated, New York (2007)

    Google Scholar 

  19. Gouadec, D.: Terminologie: constitution des données. AFNOR gestion, AFNOR (1990). https://books.google.it/books?id=cRrnAAAAMAAJ

  20. Grabar, N., Hamon, T.: A large rated lexicon with French medical words. In: LREC (Language Resources and Evaluation Conference) (2016)

    Google Scholar 

  21. Grabar, N., Van Zyk, I., De La Harpe, R., Hamon, T.: The comprehension of medical words. In: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5, BIOSTEC 2014, pp. 334–342. SCITEPRESS - Science and Technology Publications, Lda, Portugal (2014). https://doi.org/10.5220/0004803803340342

  22. Grön, L., Bertels, A.: Clinical sublanguages: vocabulary structure and its impact on term weighting. Terminology 24(1), 41–65 (2018)

    Article  Google Scholar 

  23. Hliaoutakis, A., Varelas, G., Petrakis, E.G.M., Milios, E.: MedSearch: a retrieval system for medical information based on semantic similarity. In: Gonzalo, J., Thanos, C., Verdejo, M.F., Carrasco, R.C. (eds.) ECDL 2006. LNCS, vol. 4172, pp. 512–515. Springer, Heidelberg (2006). https://doi.org/10.1007/11863878_56

    Chapter  Google Scholar 

  24. Jimison, H., et al.: Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. Evid Rep Technol Assess (Full Rep) 175, 1–1422 (2008)

    Google Scholar 

  25. Joo, S., Choi, Y.: Content analysis of social tags generated by health consumers. In: II, P.L.B., et al. (eds.) Proceedings of the 15th ACM/IEEE-CE Joint Conference on Digital Libraries, Knoxville, TN, USA, 21–25 June 2015, pp. 249–250. ACM (2015). http://doi.acm.org/10.1145/2756406.2756959

  26. Keselman, A., Tse, T., Crowell, J., Browne, A., Ngo, L., Zeng, Q.: Assessing consumer health vocabulary familiarity: an exploratory study. J. Med. Internet Res. 9(1), e5 (2007)

    Article  Google Scholar 

  27. Klavans, J., Muresan, S.: Evaluation of DEFINDER: a system to mine definitions from consumer-oriented medical text. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, JCDL 2001, Roanoke, Virginia, USA, 24–28 June 2001, pp. 201–202. ACM (2001). http://doi.acm.org/10.1145/379437.379488

  28. Lee, C.-H., Na, J.-C., Khoo, C.: Towards ontology enrichment with treatment relations extracted from medical abstracts. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds.) ICADL 2006. LNCS, vol. 4312, pp. 419–428. Springer, Heidelberg (2006). https://doi.org/10.1007/11931584_45

    Chapter  Google Scholar 

  29. Leroy, G., Endicott, J.E.: Term familiarity to indicate perceived and actual difficulty of text in medical digital libraries. In: Xing, C., Crestani, F., Rauber, A. (eds.) ICADL 2011. LNCS, vol. 7008, pp. 307–310. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24826-9_38

    Chapter  Google Scholar 

  30. Rouleau, M.: La terminologie médicale et ses problèmes. Tribuna, vol. IV, n. 12 (2003)

    Google Scholar 

  31. McCray, A.: Promoting health literacy. J. Am. Med. Infor. Ass. 12, 152–163 (2005)

    Article  Google Scholar 

  32. McKeown, K.R., Elhadad, N., Hatzivassiloglou, V.: Leveraging a common representation for personalized search and summarization in a medical digital library. In: Proceedings of the ACM/IEEE 2003 Joint Conference on Digital Libraries (JCDL 2003), 27–31 May 2003, Houston, Texas, USA, p. 159. IEEE Computer Society (2003). https://doi.org/10.1109/JCDL.2003.1204856

  33. Neveol, A., Grosjean, J., Darmoni, S., Zweigenbaum, P.: Language resources for French in the biomedical domain. In: Proceedings of the LREC 2014. ELRA, Reykjavik, Iceland, May 2014

    Google Scholar 

  34. Parker, R.M., et al.: Health literacy-report of the council on scientific affairs. JAMA-J. Am. Med. Assoc. 281(6), 552–557 (1999)

    Article  Google Scholar 

  35. Ranck, J. (ed.): Disruptive Cooperation in Digital Health. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40980-1. https://books.google.it/books?id=mGfVjwEACAAJ

    Book  Google Scholar 

  36. Rastier, F.: Sémantique interprétative. Formes sémiotiques, Presses universitaires de France (1987). https://books.google.it/books?id=BnuyAAAAIAAJ

  37. Sinclair, J.: Reading Concordances: An Introduction. Pearson Longman, New York (2003)

    Google Scholar 

  38. Street Jr., R.L.: Information-giving in medical consultations: the influence of patients’ communicative styles and personal characteristics. Soc. Sci. Med. 32(5), 541–548 (1991)

    Article  Google Scholar 

  39. Tu-Keefner, F.: The value of public libraries during a major flooding: how digital resources can enhance health and disaster preparedness in local communities. In: Morishima, A., Rauber, A., Liew, C.L. (eds.) ICADL 2016. LNCS, vol. 10075, pp. 10–15. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49304-6_2

    Chapter  Google Scholar 

  40. Vezzani, F., Di Nunzio, G.M., Henrot, G.: (not so) elementary, my dear Watson! In: Coronato, R., Gesuato, S. (eds.) Filling Gaps, Building Bridges: Qualitative and Quantitative Approaches to the Study of Literature, Padova, June 2018

    Google Scholar 

  41. Vezzani, F., Di Nunzio, G.M., Henrot, G.: TriMED: a multilingual terminological database. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation LREC 2018, Miyazaky, Japan, 7–12 May 2018 (2018, in press)

    Google Scholar 

  42. Wandji Tchami, O., Grabar, N.: Towards automatic distinction between specialized and non-specialized occurrences of verbs in medical corpora. In: Proceedings of the 4th International Workshop on Computational Terminology (Computerm), pp. 114–124. Association for Computational Linguistics and Dublin City University, Dublin, Ireland, August 2014. http://www.aclweb.org/anthology/W14-4814

  43. Wickham, H.: Tidy data. J. Stat. Softw. 59 (2014). http://www.jstatsoft.org/v59/i10/

  44. You, S., DesArmo, J., Mu, X., Lee, S., Neal, J.C.: Visualized related topics (VRT) system for health information retrieval. In: IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014, London, United Kingdom, 8–12 September 2014, pp. 429–430. IEEE Computer Society (2014). https://doi.org/10.1109/JCDL.2014.6970209

  45. Zhu, B., Leroy, G., Chen, H., Chen, Y.: MedTextus: an intelligent web-based medical meta-search system. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, JCDL 2002, Portland, Oregon, USA, June 14–18 2002, p. 386. ACM (2002). http://doi.acm.org/10.1145/544220.544333

Download references

Author information

Authors and Affiliations

  1. Department of Linguistic and Literary Studies, University of Padua, Padua, Italy

    Federica Vezzani

  2. Department of Information Engineering, University of Padua, Padua, Italy

    Giorgio Maria Di Nunzio

Authors
  1. Federica Vezzani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giorgio Maria Di Nunzio
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Federica Vezzani .

Editor information

Editors and Affiliations

  1. Italian National Research Council, Pisa, Italy

    Paolo Manghi

  2. Italian National Research Council, Pisa, Italy

    Leonardo Candela

  3. University of Padua, Padua, Italy

    Gianmaria Silvello

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vezzani, F., Di Nunzio, G.M. (2019). Computational Terminology in eHealth. In: Manghi, P., Candela, L., Silvello, G. (eds) Digital Libraries: Supporting Open Science. IRCDL 2019. Communications in Computer and Information Science, vol 988. Springer, Cham. https://doi.org/10.1007/978-3-030-11226-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-11226-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11225-7

  • Online ISBN: 978-3-030-11226-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation