Skip to main content

Advertisement

SpringerLink
Log in

A Decision Support System for Prescription of Non-Medication-Based Rehabilitation

  • Published:
Biomedical Engineering Aims and scope

The construction of a recommendation system for selecting one of five non-medication-based rehabilitation complexes for participants in armed conflicts and emergencies is described. Rehabilitation techniques developed at the Tomsk Science Research Institute of Balneology and Physiotherapy prevent potential chronicization of pathological processes, increase the body’s adaptive reserves, and improve quality of life in those affected by emergencies. A set of features was determined for each complex, providing the most precise identification of each complex. The principle underlying the construction of the recommendation system is instrumental in nature and the system could be used not only in rehabilitation and treatment centers, but also in other healthcare institutions.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ohno-Machado L., “Modeling medical prognosis: Survival analysis techniques,” J. Biomed. Inform., 34, 428-439 (2001).

    Article  Google Scholar 

  2. Cruz J. A. and Wishart D. S., “Applications of machine learning in cancer prediction and prognosis,” Cancer Informatics, 2, 59-78 (2006).

    Google Scholar 

  3. Zaitsev A. A., Hodashinsky I. A., and Plotnikov O. O., “Prediction of the efficacy of non-medication-based treatment based on sets of classifiers,” Vopr. Kurortol. Fizioter. Lecheb. Fiz. Kul’t., No. 4, 46-49 (2011).

  4. Kormen T., Leizerson Ch., Rivest R., and Shtain K., Algorithms: Design and Analysis [in Russian], Vil’yams Press, Moscow (2005).

    Google Scholar 

  5. Gorbunov I. V. and Hodashinsky I. A., “Methods of building three-criterion Pareto-optimal fuzzy classifiers,” Iskusstv. Intellekt Prinyat. Reshen., No. 2, 75-87 (2015).

  6. Hodashinsky I. A. and Gorbunov I. V., “A hybrid method for constructing fuzzy systems based on island models,” Informat. Sist. Uprav., No. 3 (41), 114-120 (2014).

  7. Hodashinsky I. A., Meshcheryakov R. V., and Gorbunov I. V., “Designing fuzzy rule-based classifiers using bee colony algorithm,” in: Proc. 2014 Int. Conf. on Informatics, Networking and Intelligent Computing (INIC 2014), 16-17 Nov. 2014, Shenzhen, China, CRC Press (2015), pp. 25-34.

  8. Sobchik L. N., SMIL. A Standardized Multifactorial Personality Test [in Russian], Rech’, St. Petersburg (2000).

Download references

Author information

Authors and Affiliations

  1. Institute of Systems Integration and Safety, Tomsk State University of Control Systems and Radio Electronics, Tomsk, Russia

    I. V. Gorbunov

  2. Tomsk Science Research Institute of Balneology and Physiotherapy, Russian Federal Medical and Biological Agency, Tomsk, Russia

    A. A. Zaitsev

  3. Tomsk State University of Control Systems and Radio Electronics, Tomsk, Russia

    R. V. Meshcheryakov & I. A. Hodashinsky

Authors
  1. I. V. Gorbunov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. A. Zaitsev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. V. Meshcheryakov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. I. A. Hodashinsky
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to I. V. Gorbunov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 50, No. 6, Nov.-Dec., 2016, pp. 24-27.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gorbunov, I.V., Zaitsev, A.A., Meshcheryakov, R.V. et al. A Decision Support System for Prescription of Non-Medication-Based Rehabilitation. Biomed Eng 50, 393–397 (2017). https://doi.org/10.1007/s10527-017-9663-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10527-017-9663-1

Search

Navigation