Geodesic
Multivariate method of motility index individual prediction of children with a cerebral paralysis
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2010), pp. 79-85 Cet article a éte moissonné depuis la source Math-Net.Ru

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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. 
@article{ITVS_2010_3_a9,
     author = {A. V. Wildemann and A. A. Tashkinov and V. A. Bronnikov},
     title = {Multivariate method of motility index individual prediction of children with a cerebral paralysis},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {79--85},
     year = {2010},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2010_3_a9/}
}
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A. V. Wildemann; A. A. Tashkinov; V. A. Bronnikov. Multivariate method of motility index individual prediction of children with a cerebral paralysis. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2010), pp. 79-85. http://geodesic.mathdoc.fr/item/ITVS_2010_3_a9/