RUS  ENG
Full version
JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2010 Issue 3, Pages 79–85 (Mi itvs26)

APPLIED ASPECTS OF COMPUTER SCIENCE

Multivariate method of motility index individual prediction of children with a cerebral paralysis

A. V. Wildemanna, A. A. Tashkinova, V. A. Bronnikovb

a Perm State Technical University
b Центр комплексной реабилитации инвалидов (г. Пермь)

Abstract: The problems of motor activity development prediction of patients with children's cerebral paralysis (CCP) are studied on the basis of the multivariate statistical analysis. The method of motility index individual prediction of patient with CCP generalized on a multivariate case is offered. It is shown that the account in prediction models of influence of patrimonial and antenatal risk factors allows to improve reliability of forecasts in comparison with one-dimensional models.

Keywords: mathematical modelling, individual prediction, multivariate statistical analysis, medicosocial systems.



© Steklov Math. Inst. of RAS, 2024