Methods "data mining" for the analysis of functional infants condition and predictors of efficiency of rehabilitation measures determination
The author gives the results of years of research functional condition and adaptive responses of healthy infants with perinatal central nervous system. Given data is about the necessity and feasibility of the methods «data mining» to work with large multidimensional data. This article describes the results of using the factor, cluster, discriminant analysis to identify the information criteria and classification tree (decision tree) for a detailed definition of the effectiveness predictors of rehabilitation course.