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ICDWiz: Visualizing ICD-11 Using 3D Force-Directed Graph

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Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2021)

Abstract

WHO released ICD-11 in 2018 and will be used in 2022. ICD-11 has been changed drastically in its complex structure, enormous size, multi-source of classifications and terminologies, and code of diseases multiplication. The transition from ICD-10 to ICD-11 will be extremely intricate and long process, especially for the international members. In this paper, we present the 3D visualization part of the ICDWiz system to uncover the ICD-11 using our modified 3D Force Directed Graph to visual the information and relationship of the multi-knowledge sources biomedical Concept-terms-strings-atoms or phrases. The Visualization construction and functions such as Initial graph, Collapsed Function, Ring Notation and Constructed Text Label are described. The testing is elaborated using the ICDWiz database which is developed based on UMLS-Metathesaurus structure. The result reveals the complex visual of the ICD-11 medical information such as diseases, symptoms and relationship integrated from multi-medical classifications such as ICD-11, ICD-10, ICD-10 TM (Thai Modification), MeSH, and SNOMED-CT. The mapping between ICD-10 and 11 is also visualized as well.

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Notes

  1. 1.

    https://www.nlm.nih.gov/research/umls/index.html.

  2. 2.

    http://xchangekbo.moph.go.th/hdc_report/frontend/web/index.php.

References

  1. International Statistical Classification of Disease and Related Health Problems, 10th Revision, Thai Modification (ICD-10-TM). Ministry of Public Health, Thailand (2009)

    Google Scholar 

  2. Asturiano, V.: 3D Force-Directed Graph (2020). https://github.com/vasturiano/3d-force-graph

  3. Baumann, N.: How to use the medical subject headings (MeSH). Int. J. Clin. Pract. (2016). https://doi.org/10.1111/ijcp.12767

  4. Bodenreider, O.: The Unified Medical Language System (UMLS): Integrating biomedical terminology. Nucleic Acids Research (2004)

    Google Scholar 

  5. Choosang, P., Narktim, A., Nondhabongkoj, S., Noraset, T., Mitrpanont, J.: ICD-10 and ICD-10-TM Automated Document Structure Extraction and Verification System. Bachelor’s thesis, Mahidol University, Thailand (2019)

    Google Scholar 

  6. D3.js: Collapsible tree diagram in v4 (2020). https://bl.ocks.org/d3noob/43a860bc0024792f8803bba8ca0d5ecd

  7. Geller, J., Ochs, C., Perl, Y., Xu, J.: New abstraction networks and a new visualization tool in support of auditing the SNOMED CT content. In: AMIA Annual Symposium Proceedings, vol. 2012, p. 237. American Medical Informatics Association (2012)

    Google Scholar 

  8. Højen, A.R., Sundvall, E., Gøeg, K.R.: Methods and applications for visualization of SNOMED CT concept sets. Appl. Clin. Inform. 5(1), 127 (2014)

    Article  Google Scholar 

  9. Holten, D.: Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. IEEE Trans. Vis. Comput. Graph. 12(5), 741–748 (2006)

    Article  Google Scholar 

  10. Honnibal, M., Montani, I.: Spacy 2: natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing. 7(1), (2017, to appear)

    Google Scholar 

  11. Hu, Y.: Efficient, high-quality force-directed graph drawing. Math. J. 10(1), 37–71 (2005)

    Google Scholar 

  12. IGI Global: What is Medical Classification. https://www.igi-global.com/dictionary/optimization-medical-supervision-management-reimbursement/18206

  13. Real, R., Vargas, J.M.: The probabilistic basis of Jaccard’s index of similarity. Syst. Biol. 45(3), 380–385 (1996)

    Article  Google Scholar 

  14. Richardson, L.: Beautiful soup documentation (2017). Dosegljivo https://www.crummy.com/software/BeautifulSoup/bs4/doc/. Dostopano 7 July 2018

  15. Rouse, M.: ICD-10 (International Classification of Diseases, Tenth Revision) (2018). https://searchhealthit.techtarget.com/definition/ICD-10

  16. Rychlewski, J.: On Hooke’s law. J. Appl. Math. Mech. 48(3), 303–314 (1984)

    Article  MathSciNet  Google Scholar 

  17. Stearns, M.Q., Price, C., Spackman, K.A., Wang, A.Y.: SNOMED clinical terms: overview of the development process and project status. In: Proceedings of the AMIA Symposium, p. 662. American Medical Informatics Association (2001)

    Google Scholar 

  18. Suthinuntasook, S., Thongrattana, W., Sillapathadapong, S., Sawangphol, W., Mitrpanont, J.: VISMAP-ICD: Ontology-Mapping Visualization and Recommendation for International Statistical Classification of Diseases and Related Health Problems (ICD-10 and ICD-11). Bachelor’s thesis, Mahidol University, Thailand (2020)

    Google Scholar 

  19. U.S. National Library of Medicine - National Institutes of Health: SNOMED CT FAQs (2018). https://www.nlm.nih.gov/healthit/snomedct/faq.html

  20. U.S. National Library of Medicine - National Institutes of Health: Medical Subject Headings (2019). https://www.nlm.nih.gov/mesh/meshhome.html

  21. Williams, E.R., Faller, J.E., Hill, H.A.: New experimental test of Coulomb’s law: a laboratory upper limit on the photon rest mass. Phys. Rev. Lett. 26(12), 721 (1971)

    Article  Google Scholar 

  22. World Health Organization: ClaML format and its use in the dissemination of WHO Classifications. https://apps.who.int/classifications/apps/icd/ClassificationDownloadNR/ClaMLFormat.htm

  23. World Health Organization: WHO releases new International Classification of Diseases (ICD 11) (2018). https://www.who.int/news-room/detail/18-06-2018-who-releases-new-international-classification-of-diseases-(icd-11)

  24. World Health Organization: Classification of Diseases (ICD) (2019)

    Google Scholar 

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Correspondence to Wudhichart Sawangphol .

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Mitrpanont, J., Sawangphol, W., Thongrattana, W., Suthinuntasook, S., Silapadapong, S., Kitkhachonkunlaphat, K. (2021). ICDWiz: Visualizing ICD-11 Using 3D Force-Directed Graph. In: Hong, TP., Wojtkiewicz, K., Chawuthai, R., Sitek, P. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2021. Communications in Computer and Information Science, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-1685-3_27

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  • DOI: https://doi.org/10.1007/978-981-16-1685-3_27

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