Skip to main content

A Smart Mobile Health Application for Mauritius

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 863))

Abstract

This paper presents a smart health mobile application for Mauritius. One of the main functionalities of the application is a symptom checker and diagnosis tool which provides a bridge between doctors and patients. Once patients input or select their symptoms, the application proposes a list of possible diseases and relevant specialist doctors are recommended through the use of a rule-based expert system. Patients are able to directly book appointments with specialists. The mobile application uses intelligent techniques in order to create a knowledge base of diseases and their related symptoms for Mauritius. The knowledge base also includes information related to the medical specialist for each disease so that relevant doctors can be recommended to patients. The application continues to improve itself as it learns from the symptoms input by users, that is, over time, it learns which symptoms are more likely to occur together. Patients can communicate their symptoms to doctors prior to their appointments, and they can also receive notifications from doctors in case of appointment cancellation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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.

    https://www.ibm.com/watson/health/oncology-and-genomics/oncology/.

  2. 2.

    www.symptomate.com.

  3. 3.

    https://www.webmd.com/webmdapp.

  4. 4.

    www.itriagehealth.com.

  5. 5.

    https://www.w3.org/Submission/SWRL/.

  6. 6.

    https://www.w3.org/TR/owl-features/.

References

  1. Galeon, D., Houser, K.: Artificial intelligence. Available at https://futurism.com/ibms-watson-ai-recommends-same-treatment-as-doctors-in-99-of-cancer-cases/ [Online]. Accessed 21 June 2018 (2016)

  2. Rouse, M.: Expert system. Available at http://searchhealthit.techtarget.com/definition/expert-system [Online]. Accessed 13 Mar 2017 (2016)

  3. Neches, R., et al.: Enabling technology for knowledge sharing. AI Mag. 12(3), 36–56 (1991)

    Google Scholar 

  4. Rector, A., Gangemi, A., Galeazzi, E., Glowinski, A., Rossi-Mori, A: The GALEN CORE model schemata for anatomy: towards a re-usable application-independent model of medical concepts. In: Proceedings of Medical Informatics EuropeMIE94 (1994)

    Google Scholar 

  5. Van Gurp, M., Decoene, M., Holvoet, M., dos Santos, M.C.: LinKBase, a philosophically-inspired ontology for NLP/NLU applications. In: Proceedings of the Second International Workshop on Formal Biomedical Knowledge, KR-MED (2006)

    Google Scholar 

  6. Schriml, L.M., Arze, C., Nadendla, S., Chang, Y.W.W., Mazaitis, M., Felix, V., Feng, G., Kibbe, W.A.: Disease ontology: a backbone for disease semantic integration. Nucleic Acids Res. 40(D1), D940–D946 (2012)

    Article  Google Scholar 

  7. The OBO Foundry. Available at http://www.obofoundry.org/ontology/symp.html [Online]. Accessed 26 June 2018

  8. Mohammed, O.M.: Semantic web system for differential diagnosis recommendations. Thesis, Lakehead University. Available at https://knowledgecommons.lakeheadu.ca/handle/2453/316 [Online]. Accessed 25 June 2018 (2012)

  9. Anonymised Authors. A Disease-Symptom Ontology for Mauritius. Manuscript (2018)

    Google Scholar 

  10. Health Statistic Unit, Ministry of Health and Quality of Life. Available at http://health.govmu.org/English/Statistics/Health/Mauritius/Pages/default.aspx [Online]. Accessed 27 June 2018 (2016)

Download references

Declaration

We undertake that we have the required permission to use images/dataset in our work from suitable authority and we shall be solely responsible if any issue in future.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nuzhah Gooda Sahib-Kaudeer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aubeeluck, M., Bucktowar, U., Gooda Sahib-Kaudeer, N., Gobin-Rahimbux, B. (2019). A Smart Mobile Health Application for Mauritius. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 863. Springer, Singapore. https://doi.org/10.1007/978-981-13-3338-5_31

Download citation

Publish with us

Policies and ethics