REGIONAL FEATURES OF THE STRUCTURE OF OTOPATHOLOGY AMONG SCHOOLCHILDREN IN EASTERN SIBERIA, IDENTIFIED BY MEANS OF THE RegionLor INFORMATION SYSTEM

Irina A. Ignatova; Lyudmila I. Pokidysheva

doi:10.12731/2658-6649-2022-14-5-282-300

Irina A. Ignatova Federal State Budgetary Scientific Institution «Scientific Research Institute of medical problems of the North»; Krasnoyarsk State Medical University https://orcid.org/0000-0003-3327-7631
Lyudmila I. Pokidysheva Siberian Federal University https://orcid.org/0000-0003-0995-6896

DOI: https://doi.org/10.12731/2658-6649-2022-14-5-282-300

Keywords: children, hearing impairment, information system RegionLor

Abstract

The study of the structure of hearing pathology in schoolchildren of Eastern Siiri was carried out with the help of the RegionLor information system. The regional features of hearing pathology among schoolchildren were revealed, correlating with the results of studies we conducted earlier.

Purpose. To increase the effectiveness of specialized personalized medical care for children with hearing impairments in Eastern Siberia based on the analysis of regional features of the structure of otopathology using the RegionLor information system.

Results. The regional features of the structure of otopathology of schoolchildren in Eastern Siberia were determined using the RegionLor information system.

Conclusion. The RegionLor information system minimizes time and personnel reserves. Allows you to get a clear picture of the regional features of the structure of otopathology in schoolchildren. Thus, an economic effect is achieved: a reduction in the examination time and an improvement in the quality of diagnostic and therapeutic measures among the hearing-impaired children in Eastern Siberia.

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Author Biographies

Irina A. Ignatova, Federal State Budgetary Scientific Institution «Scientific Research Institute of medical problems of the North»; Krasnoyarsk State Medical University

Doctor of Medical Sciences, Leading Researcher of the Laboratory of Clinical Pathophysiology; Professor of the Department of Otolaryngology

Lyudmila I. Pokidysheva, Siberian Federal University

Ph.D. (Engineering Sciences), Professor at the Department “Computer Science”, Institute of Space and Information Technology

References

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Diab, K.M., Gulyamov, S.B., Korobkin, A.S.,Korvyakov, V.S., Garashchenko, T.I., Sapozhnikov, Y.M., Serebryakova, I.Y., Kuyan, Y.S., Kondratchikov, D.S. Role of 3d st modeling in assessing the causes of hearing loss and choosing treatment strategy in children with middle ear anomalies. Voprosy Prakticheskoi Pediatrii, 2019, vol. 14, issue 6, pp. 47-54.

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Dolinay, V., Zlinsky, V., Vasek, V. Software utility for processing of hearing investigation results. Annals of DAAAM and Proceedings of the International DAAAM Symposium, 2005, pp. 99-100.

Eksteen, S., Launer, S., Kuper, H., Eikelboom, R.H., Bastawrous, A., Swanepoel, D.W. Hearing and vision screening for preschool children using mobile technology, South Africa. Bulletin of the World Health Organization, 2019, vol. 97, issue 10, pp. 672-680.

Gryczyński, M., Durko, M. Audiobase – a computer system for monitoring and analyzing audiometric data in clinical and ambulatory practice. Otolaryngologia polska. The Polish otolaryngology, 2000, vol. 54, issue 6, pp. 681-684.

Meinzen-Derr, J., Sheldon, R.M., Henry, S., Grether, S.M., Smith, L.E., Mays, L., Riddle, I., Altaye, M., Wiley, S.Enhancing language in children who are deaf/hard-of-hearing using augmentative and alternative communication technology strategies. International Journal of Pediatric Otorhinolaryngolgy, 2019, vol. 125, pp. 23-31.

Morohoshi, S., Okamoto, M. Computer utilization for audiogram classification. Journal of the Showa Medical Association, 1987, vol. 47, issue 2, pp. 265-275.

Pokidysheva L., Ignatova I. Principal Component Analysis Used in Estimation of Human’s Immune System, Suffered from Allergic Rhinosinusopathy Complicated with Clamidiosis or without It. Book Chapter in Advances in Intelligent Analysis of Medical Data and Decision Support Systems, Series: Studies in Computational Intelligence. Springer, 2013, vol. 473, pp. 147-156.

Sheikh, W., Sheikh, N.A Model-View-View Model (MVVM) Application Framework for Hearing Impairment Diagnosis-Type Dependency Architecture. 2020 Intermountain Engineering, Technology and Computing, IETC 2020. 2020, № 92491811.

Whitton, J.P., Hancock, K.E., Shannon, J.M., Polley, D.B. Validation of a Self-Administered Audiometry Application: An Equivalence Study. Laryngoscope, 2016, vol. 126, issue 10, pp. 2382-2388.

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