Communications - Scientific Letters of the University of Zilina 2011, 13(1):27-31 | DOI: 10.26552/com.C.2011.1.27-31

Some Methods for Development of Analytical Module in Telemedicine System for a Child Monitoring

Vitaly Levashenko1, Sergey I. Karas2, Miroslav Rusin1, Evgeny E. Sizov3
1 Department of Informatics, University of Zilina, Slovakia
2 Medical and Biological Cybernetics Chair, Siberian State Medical University, Tomsk, Russia
3 Siberian State Medical University, Tomsk, Russia

Telemedicine system is system that provides distance medical help and wide application of these systems is started. In the paper two telemedicine systems for pediatrics and specifications of their development are considered. This system will be used for decision different aspects in pediatrics, but both of these systems have similar structure and include special analytical module. The analytical module is used for estimation of initial data and forming of preliminary decision about patient state. Two methods for development of the module are proposed. One of them is based on fuzzy decision trees and second is logistic regression for prediction. These methods are alternative and amplify with one another.

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Published: March 31, 2011  Show citation

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Levashenko, V., Karas, S.I., Rusin, M., & Sizov, E.E. (2011). Some Methods for Development of Analytical Module in Telemedicine System for a Child Monitoring. Communications - Scientific Letters of the University of Zilina, 13(1), 27-31. doi: 10.26552/com.C.2011.1.27-31
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    References

    1. ACKERMAN M. J., BURGESS L. P. et al. Developing next generation telehealth tools and technologies: Patients, systems, and data perspectives. Telemedicine and e-Health, 16(1), 2010, pp. 93-95 Go to original source...
    2. BASHSHUR R.L., SHANNON G.W. History of Telemedicine. Evolution, Context, and Transformation. 2009, 466p.
    3. KOLOMEJCOV A.O., SIZOV E.E. Implementation of logistic regression statistical method for definition of children groups with high risk of disease. In Proc. of the 16th Int. Conf. on Modern Technique and Technologies, Vol. 2, pp. 40-42 (in Russian).
    4. ZAITSEVA E., MATIASKO K., DOBROTA D., A Decision Support System for Early Diagnostics in Oncology. In Proc. of the 2nd Int. Conf. on Advanced Information and Telemedicine Technologies for Health (AITTH-2008), 1-3 October, Minsk, Belarus, 2008, pp.117-121.
    5. GRASCHEW G., ROELOFS T.A., et.al. 2020 - New Technologies for the workplace of the physician of the future. In Proc. of the 5th Int. workshop on Digital Technologies, 20-21 November, Zilina, Slovakia. 2008.
    6. TULU B., et al. A Taxonomy of Telemedicine Efforts with respect to Applications, Infrastructure, Delivery Tools, Type of Setting and Purpose. In: Proc. of the 38th Hawaii International Conference on System Sciences, 2005
    7. PAUL, S.; BHATTACHARYA, S.D et al. A web-based electronic health care system for the treatment of paediatric HIV. In Proc. of the 11th International Conference on e-Health Networking, Applications and Services, 16-18 Dec., 2009, pp.175-180. Go to original source...
    8. SABLE C., CUMMINGS S., et al. Impact of Telemedicine on the Practice of Paediatric Cardiology in Community Hospitals, Paediatrics, Vol. 109, No. 1, 2002, pp.e3. Go to original source...
    9. GAMMON D., ÅRSAND E., et al. Parent-Child Interaction Using a Mobile and Wireless System for Blood Glucose Monitoring, Journal of Medical Internet Research, Vol. 7, No 5, 2005, pp. e57. Go to original source...
    10. CHAN D., CALLAHAN C., et al. An Internet-Based Store-and-Forward Video Home Telehealth System for Improving Asthma Outcomes in Children. American Journal of Health-System Pharmacy, Vol. 60, No. 19, 2003, pp. 1976-1981. Go to original source...
    11. GRAY J., SAFRAN C., et al. Baby CareLink: Using the Internet and Telemedicine to Improve Care for High-Risk Infants. Paediatrics, Vol. 106, No. 6, 2000, pp. 1318-1324. Go to original source...
    12. BARBER P., DOVYAK J., MANTEY S. HD videoconferencing links critical care newborns from rural hospitals to tertiary care facilities, specialists, 2008. Available on internet
    13. LEVASHENKO V., ZAITSEVA E., et al. Nomogram for assistance in treatment of prostate cancer. In 5th International workshop on Digital Technologies (DT 2008), 20-21 November, Zilina, Slovakia, 2008.
    14. LEVASHENKO V., ZAITSEVA E., Usage of New Information Estimations for Induction of Fuzzy Decision Trees. In Proc. of the 3rd IEEE Int. Conf. on Intelligent Data Engineering and Automated Learning, Kluwer Publisher, pp. 493-499, 2002. Go to original source...
    15. LEVASHENKO V., ZAITSEVA E., PUURONEN S. Fuzzy Classified Based on Fuzzy Decision Tree. In Proc. of the IEEE International Conference on Computer as a Tool, pp. 823-827.

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