Paper
6 November 2019 Information model of individual rehabilitation program efficacy in disabled persons with cardiovascular diseases
Yurii O. Bezsmertnyi, Viktor I. Shevchuk, Iryna V. Kurylenko, Halyna V. Bezsmertna, Sergii M. Zlepko, Tetiana I. Kozlovska, Olena Yu. Teplova, Zbigniew Omiotek, Aigul Syzdykpayeva
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111762D (2019) https://doi.org/10.1117/12.2536413
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
On the basis of mathematical modeling, prognostic measures are identified in the individual rehabilitation program (IRP), which influence on the effectiveness of the rehabilitation process and reduce the limitations in disabled individuals with cardiovascular diseases. According to a multivariate stepwise discriminant analysis, the main rehabilitation measures that increase the effectiveness of rehabilitation in persons with disabilities due to cardiovascular diseases are: "restorative therapy", "medical observation", "counseling on physical rehabilitation", "therapeutic physical education", "examination potential professional abilities", "professional orientation", "rational employment" and "adequacy of the profession and specialty recommended in IRP". Taking into account these measures and their implementation will significantly increase the effectiveness of rehabilitation of a person with disabilities with cardiovascular pathology.
© (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, Iryna V. Kurylenko, Halyna V. Bezsmertna, Sergii M. Zlepko, Tetiana I. Kozlovska, Olena Yu. Teplova, Zbigniew Omiotek, and Aigul Syzdykpayeva "Information model of individual rehabilitation program efficacy in disabled persons with cardiovascular diseases", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762D (6 November 2019); https://doi.org/10.1117/12.2536413
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Cited by 1 scholarly publication.
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KEYWORDS
Statistical analysis

Pathology

Data modeling

Mathematical modeling

Error analysis

Telecommunications

Computing systems

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