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 traduzido da contribuição||Accuracy of Random forest method and Multilayer perceptron method in predicting of the outcomes in pediatric ischemic stroke|
|Número de páginas||5|
|Revista||Уральский медицинский журнал|
|Número de emissão||10(154)|
|Estado da publicação||Published - 2017|
Level of Research Output
- VAK List