Assessment and Management of the State of Health Based on Rasch Models


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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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