Resumen

Authors made the comparison between two methods (random forest and multilayer perceptron) to forecast the outcome of the pediatric ischemic stroke. Two options of the outcome were estimated: disability and the absence of disability. Case series included 172 patients data base, all patients had MRI confirmation of stroke and signed concern form. Eight thrombophilic genes polymorphisms: FGB:-455G>A, F2:20210G>A, F5:1691G>A, F7:10976G>A, F13:103G>T, ITGA2:807C>T, ITGB3:1565T>C, PAI-1:-675 5G>4G, and four genes polymorphisms of folic acid enzymes: MTHFR:677C>T, MTHFR:1298А>С, МТRR:66А>G, MTR:2756А>G were established as feasible predictors. Multilayer perceptron method showed higher rates of correct recognition of the outcomes, than random forest method (0,88 vs 0,67).
Título traducido de la contribuciónAccuracy of Random forest method and Multilayer perceptron method in predicting of the outcomes in pediatric ischemic stroke
Idioma originalRussian
Páginas (desde-hasta)58-62
Número de páginas5
PublicaciónУральский медицинский журнал
N.º10(154)
EstadoPublished - 2017

GRNTI

  • 76.29.00

Level of Research Output

  • VAK List

Huella Profundice en los temas de investigación de 'ТОЧНОСТЬ МЕТОДОВ СЛУЧАЙНЫЙ ЛЕС И МНОГОСЛОЙНЫЙ ПЕРСЕПТРОН В ЗАДАЧЕ ПРОГНОЗИРОВАНИЯ ИСХОДОВ ДЕТСКИХ ИШЕМИЧЕСКИХ ИНСУЛЬТОВ'. En conjunto forman una huella única.

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