Skip to main content
SpringerLink
Log in
Book cover

European Semantic Web Conference

ESWC 2019: The Semantic Web: ESWC 2019 Satellite Events pp 58–63Cite as

The Magic of Semantic Enrichment and NLP for Medical Coding

  • Conference paper
  • First Online:

  • 1116 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11762))

Abstract

Artificial Intelligence technologies are every day more present in the medical domain. Several healthcare activities that were entirely done manually by experts in the past, now are reaching a high level of automatization thanks to a satisfactory integration between these technologies and the medical professionals. This is the case of the medical coding process, consisting on the annotation of clinical notes (free-text narrative reports) to standard medical classifications in order to align this information with the patients’ records. This paper presents a combination of NLP and semantic enrichment techniques to generate an extended Biomedical Knowledge Graph in order to be exploited in the development of our automatic medical coding solution.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.who.int/classifications/icd/en/.

  2. 2.

    https://bioportal.bioontology.org/ontologies/OCHV.

  3. 3.

    https://www.tensorflow.org/tutorials/representation/word2vec.

  4. 4.

    http://dbpedia.org/ontology/.

  5. 5.

    http://purl.obolibrary.org/obo/doid.owl.

  6. 6.

    http://purl.obolibrary.org/obo/symp.owl.

  7. 7.

    https://neo4j.com/.

  8. 8.

    https://195.171.204.235/fujitsu-medical-coding.mp4.

References

  1. Barisevičius, G., et al.: Supporting digital healthcare services using semantic web technologies. In: Vrandečić, D., et al. (eds.) ISWC 2018. LNCS, vol. 11137, pp. 291–306. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00668-6_18

    Chapter  Google Scholar 

  2. Huang, J., Osorio, C., Sy, L.W.: An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes. arXiv preprint arXiv:1802.02311 (2018)

  3. Jiang, F., et al.: Artificial intelligence in healthcare: past, present and future. Stroke Vasc. Neurol. 2(4), 230–243 (2017)

    Article  Google Scholar 

  4. Johnson, A.E., et al.: MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016)

    Article  Google Scholar 

  5. Lee, Y., Geller, J.: Semantic enrichment for medical ontologies. J. Biomed. Inform. 39(2), 209–226 (2006)

    Article  Google Scholar 

  6. Omalley, K.J., Cook, K.F., Price, M.D., Wildes, K.R., Hurdle, J.F., Ashton, C.M.: Measuring diagnoses: ICD code accuracy. Health Serv. Res. 40(5p2), 1620–1639 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Fujitsu Laboratories of Europe, Camino Cerro de los Gamos, 28224, Pozuelo de Alarcón, Madrid, Spain

    Nuria García-Santa & Beatriz San Miguel

  2. Fujitsu Laboratories Ltd., 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki, 211-8588, Japan

    Takanori Ugai

Authors
  1. Nuria García-Santa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Beatriz San Miguel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Takanori Ugai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nuria García-Santa .

Editor information

Editors and Affiliations

  1. Kansas State University, Manhattan, KS, USA

    Pascal Hitzler

  2. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  3. Linköping University, Linköping, Sweden

    Olaf Hartig

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Victor de Boer

  5. Leibniz Information Centre for Science and Technology University Library (TIB), Hannover, Germany

    Maria-Esther Vidal

  6. University of Bonn, Bonn, Germany

    Maria Maleshkova

  7. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Stefan Schlobach

  8. Jönköping University, Jönköping, Sweden

    Karl Hammar

  9. F. Hoffmann-La Roche AG, Basel, Switzerland

    Nelia Lasierra

  10. Robert Bosch GmbH, Stuttgart, Germany

    Steffen Stadtmüller

  11. Aalborg University, Aalborg, Denmark

    Katja Hose

  12. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

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

García-Santa, N., San Miguel, B., Ugai, T. (2019). The Magic of Semantic Enrichment and NLP for Medical Coding. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-32327-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32326-4

  • Online ISBN: 978-3-030-32327-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation