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


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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.

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N. Korenevskiy

Southwest State University

编辑信件的主要联系方式.
Email: kstu-bmi@yandex.ru
俄罗斯联邦, Kursk

A. Shutkin

Voronezh Institute of State Fire Service of EMERCOM of Russia

Email: kstu-bmi@yandex.ru
俄罗斯联邦, Voronezh

E. Bojcova

Southwest State University

Email: kstu-bmi@yandex.ru
俄罗斯联邦, Kursk

V. Dmitrieva

National Research Nuclear University MEPhI

Email: kstu-bmi@yandex.ru
俄罗斯联邦, Moscow

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