[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

A Semantically-Enabled System for Inflammatory Bowel Diseases

  • Conference paper
  • First Online:
Health Information Science (HIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10594))

Included in the following conference series:

Abstract

The incidence rate of Inflammatory Bowel Disease (IBD) in China is increasing in recent years and the cause of this disease is still not clear. In order to promote the development of this study, in this paper, we propose a Semantically-enabled System for Inflammatory Bowel Diseases (SeSIBD). It provides functions of semantic retrieval over patient data, statistical analysis and literature retrieval based on patient characteristics. SeSIBID is built on the top of LarKC, a semantic platform for scalable semantic data processing and reasoning. Although the current implementation of SeSIBID is a prototype system, it will provide an infrastructure for clinical decision making support for deep excavation and knowledge discovery on various of medical resources of IBD in the future.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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

Similar content being viewed by others

Notes

  1. 1.

    http://www.larkc.eu.

  2. 2.

    http://linkedlifedata.com/.

  3. 3.

    http://wasp.cs.vu.nl/apdg.

References

  1. Al-Ghamdi, A.S., Al-Mofleh, I.A., Al-Rashed, R.S., Al-Amri, S.M., Aljebreen, A.M., Isnani, A.C., El-Badawi, R.: Epidemiology and outcome of crohn’s disease in a teaching hospital in Riyadh. World J. Gastroenterol. 10(9), 1341–1344 (2004)

    Google Scholar 

  2. Chinese IBD APDW2004: Retrospective analysis of 515 cases of crohns disease hospitalization in China: nationwide study from 1990 to 2003. J. Gastroenterol. Hepatol. 21, 1009–1015 (2006)

    Google Scholar 

  3. Berners-Lee, T.: The semantic web. Sci. Am. 284, 28–37 (2001)

    Article  Google Scholar 

  4. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. Mag. 284, 34–43 (2001)

    Article  Google Scholar 

  5. Chow, D.K., Leong, R.W., Lai, L.H., Wong, G.L., Leung, W.-K., Chan, F.K., Sung, J.J.: Changes in crohn’s disease phenotype over time in the chinese population: validation of the montreal classification system. Inflammatory Bowel Dis. 14(4), 536–541 (2008)

    Article  Google Scholar 

  6. Chow, D.K., Leong, R.W., Tsoi, K.K., Ng, S.S., Leung, W.-K., Wu, J.C., Wong, V.W., Chan, F.K., Sung, J.J.: Long-term follow-up of ulcerative colitis in the Chinese population. Am. J. Gastroenterol. 104(3), 647–654 (2009)

    Article  Google Scholar 

  7. Feigenbaum, L.: The semantic web in action. Sci. Am. 297, 90–97 (2007)

    Article  Google Scholar 

  8. Fensel, D., van Harmelen, F., Andersson, B., Brennan, P., Cunningham, H., Della Valle, E., Fischer, F., Huang, Z., Kiryakov, A., Lee, T., School, L., Tresp, V., Wesner, S., Witbrock, M., Zhong, N.: Towards LarKC: a platform for web-scale reasoning. In: Proceedings of the IEEE International Conference on Semantic Computing (ICSC 2008). IEEE Computer Society Press, CA, USA (2008)

    Google Scholar 

  9. Hua, X., Chen, C., Huang, Z., Hu, Q., Gu, J., Yu, S., Chen, D.: Intelligent monitoring on use of antibacterial agents based on semantic technology. China Digital Med. 4:006 (2013)

    Google Scholar 

  10. Kennelly, R.P., Subramaniam, T., Egan, L.J., Joyce, M., et al.: Smoking and crohn’s disease: active modification of an independent risk factor (education alone is not enough). J. Crohn’s Colitis 7(8), 631–35 (2013)

    Article  Google Scholar 

  11. Li, Y., Wan, Z., Huang, J., Chen, J., Huang, Z., Zhong, N.: A smart hospital information system for mental disorders. In: 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 1, pp. 321–324. IEEE (2015)

    Google Scholar 

  12. Loftus, C.G., Loftus, E.V., Harmsen, W.S., Zinsmeister, A.R., Tremaine, W.J., Melton, L.J., Sandborn, W.J.: Update on the incidence and prevalence of crohn’s disease and ulcerative colitis in olmsted county, minnesota, 1940–2000. Inflammatory Bowel Dis. 13(3), 254–261 (2007)

    Article  Google Scholar 

  13. Min, L.: The changing profiles of inflammatory bowel disease in china-a 15 year review of IBD cases to a large hospital in eastern China. Technical report (2011)

    Google Scholar 

  14. Oriuchi, T., Hiwatashi, N., Kinouchi, Y., Takahashi, S., Takagi, S., Negoro, K., Shimosegawa, T.: Clinical course and longterm prognosis of Japanese patients with crohns disease: predictive factors, rates of operation, and mortality. J. Gastroenterol. 38(10), 942–953 (2003)

    Article  Google Scholar 

  15. Ouyang, Q., Wang, Y., Hu, R.: Epidemiology of inflammatory bowel disease in China. Chinese J. Digestion 28(12), 814–818 (2008)

    Google Scholar 

  16. Patel, C., Gomadam, K., Khan, S., Garg, V.: Trialx: using semantic technologies to match patients to relevant clinical trials based on their personal health records. J. Web Sem. 8(4), 342–347 (2010)

    Article  Google Scholar 

  17. Sernadela, P., González-Castro, L., Oliveira, J.L.: Scaleus: semantic web services integration for biomedical applications. J. Med. Syst. 41(4), 54 (2017)

    Article  Google Scholar 

  18. Shadbolt, N., Hall, W., Berners-Lee, T.: The semantic web revisited. IEEE Intell. Syst. 21, 96–101 (2006)

    Article  Google Scholar 

  19. Shanwen, C., Pengyuan, W. Yunchun, L., et al.: Research progress on risk factors associated with postoperative recurrence in patients with Crohn’s disease after bowel resection (1), 89–92 (2015)

    Google Scholar 

  20. X. Shi, J. Zheng, Z. Guo, F. Chen, and Z. Wang. Correlated pathogenetic factors of crohn’s disease: a case-control study 13(5), 293–296 (2008)

    Google Scholar 

  21. Solovieva, E., Fujita, N., Shikanai, T., Aoki-Kinoshita, K.F., Narimatsu, H.: PAConto: RDF representation of PACDB data and ontology of infectious diseases known to be related to glycan binding. In: Aoki-Kinoshita, K.F. (ed.) A Practical Guide to Using Glycomics Databases, pp. 261–295. Springer, Tokyo (2017). doi:10.1007/978-4-431-56454-6_14

    Chapter  Google Scholar 

  22. Thia, K.T., Loftus, E.V., Sandborn, W.J., Yang, S.-K.: An update on the epidemiology of inflammatory bowel disease in Asia. Am. J. Gastroenterol. 103(12), 3167–3182 (2008)

    Article  Google Scholar 

  23. Witbrock, M., Fortuna, B., Bradesko, L., Kerrigan, M., Bishop, B., van Harmelen, F., ten Teije, A., Oren, E., Momtchev, V., Tenschert, A., Cheptsov, A., Roller, S., Gallizo, G.: D5.3.1 - requirements analysis and report on lessons learned during prototyping. Larkc project deliverable, June 2009

    Google Scholar 

  24. Yang, G., Guo, B., Lu, W., et al.: Document analysis on the misdiagnosis of Crohns disease. Chin. J. Misdiagn. 7(21), 5015–5026 (2007)

    Google Scholar 

  25. Ying, Z.: Case analysis of Crohn’s disease in the first classified 3A hospital in Jilin. (1), 89–92 (2016)

    Google Scholar 

  26. Zheng, J.J., Zhu, X.S., Huangfu, Z., Shi, X.H., Guo, Z.R.: Prevalence and incidence rates of crohn’s disease in mainland China: a meta-analysis of 55 years of research. J. Dig. Dis. 11(3), 161–166 (2010)

    Article  Google Scholar 

Download references

Acknowledgments

This work was partially supported by a grant from the CSC (China Scholarship Council), the National Natural Science Foundation of China under grant number 71503189, the VU-China Cooperation fund, and the major cooperation project between mainland China and Taiwan under grant number 71661167007.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Xu, L., Huang, Z., Fan, H., Yu, S. (2017). A Semantically-Enabled System for Inflammatory Bowel Diseases. In: Siuly, S., et al. Health Information Science. HIS 2017. Lecture Notes in Computer Science(), vol 10594. Springer, Cham. https://doi.org/10.1007/978-3-319-69182-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69182-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69181-7

  • Online ISBN: 978-3-319-69182-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics