Paper
6 November 2019 Prognosis of efficacy of medical and social rehabilitation in disabled individuals with respiratory diseases
Yurii O. Bezsmertnyi, Viktor I. Shevchuk, Sergii V. Pavlov, Sergii M. Zlepko, Iryna V. Kurylenko, Halyna V. Bezsmertna, Marcin Maciejewski, Alina Bugubayeva
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117633 (2019) https://doi.org/10.1117/12.2537340
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
On the basis of the created mathematical model prognostically significant measures of medical and social rehabilitation in persons with disabilities with pathology of respiratory organs were determined. The main prognostic significance characteristics of the "effectiveness" of rehabilitation were established and the influence of different types of rehabilitation on the process of recovery and (or) improving livelihoods was estimated. The main rehabilitation measures that increase the effectiveness of rehabilitation in persons with disabilities due to broncho-pulmonary diseases are: "medical observation", "restorative therapy", "spa treatment" and all the measures recommended in the individual rehabilitation program "labor" and "physical rehabilitation", "Examination of potential professional abilities", "vocational training, retraining and advanced training".
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yurii O. Bezsmertnyi, Viktor I. Shevchuk, Sergii V. Pavlov, Sergii M. Zlepko, Iryna V. Kurylenko, Halyna V. Bezsmertna, Marcin Maciejewski, and Alina Bugubayeva "Prognosis of efficacy of medical and social rehabilitation in disabled individuals with respiratory diseases", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117633 (6 November 2019); https://doi.org/10.1117/12.2537340
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KEYWORDS
Pathology

Pulmonary disorders

Error analysis

Statistical analysis

Mathematical modeling

Chromium

System integration

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