Assessment and Management of the State of Health Based on Rasch Models
- Authors: Korenevskiy N.A.1, Shutkin A.N.2, Bojcova E.A.1, Dmitrieva V.V.3
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Affiliations:
- Southwest State University
- Voronezh Institute of State Fire Service of EMERCOM of Russia
- National Research Nuclear University MEPhI
- Issue: Vol 49, No 6 (2016)
- Pages: 375-379
- Section: Article
- URL: https://journals.rcsi.science/0006-3398/article/view/234288
- DOI: https://doi.org/10.1007/s10527-016-9570-x
- ID: 234288
Cite item
Abstract
The article reviews optimization of spaces of informative features and synthesis of rules for forecasting, diagnosis, and control of the state of health of a person using the theory of measurement of latent variables based on Rasch statistical models.
About the authors
N. A. Korenevskiy
Southwest State University
Author for correspondence.
Email: kstu-bmi@yandex.ru
Russian Federation, Kursk
A. N. Shutkin
Voronezh Institute of State Fire Service of EMERCOM of Russia
Email: kstu-bmi@yandex.ru
Russian Federation, Voronezh
E. A. Bojcova
Southwest State University
Email: kstu-bmi@yandex.ru
Russian Federation, Kursk
V. V. Dmitrieva
National Research Nuclear University MEPhI
Email: kstu-bmi@yandex.ru
Russian Federation, Moscow
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