Geodesic
Algorithm of parameters identification of motor activity prognostication model
Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2013), pp. 62-68.

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The algorithm of parameters identification of motor activity prognostication model is considered at consecutive accumulation of inspections results. During algorithm approbation on a sample of supervision over group of patients with cerebral paralysis influence of increase in volume of basic data on accuracy of individual prediction is investigated.
Keywords: mathematical modelling, individual prediction, multivariate statistical analysis, medicosocial systems. 
@article{ITVS_2013_2_a6,
     author = {A. V. Wildemann and A. A. Tashkinov and V. A. Bronnikov},
     title = {Algorithm of parameters identification of motor activity prognostication model},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {62--68},
     publisher = {mathdoc},
     number = {2},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2013_2_a6/}
}
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A. V. Wildemann; A. A. Tashkinov; V. A. Bronnikov. Algorithm of parameters identification of motor activity prognostication model. Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2013), pp. 62-68. http://geodesic.mathdoc.fr/item/ITVS_2013_2_a6/