Based on the data mining quality management of the rehabilitation of children with CNS disorders

Abstract

The paper discusses the issues of children with CNS disorders rehabilitation. Diversity and ambiguity of the CNS disorders, the complexity of mainstreaming influenced medical effects, the necessity to incorporate gathered experience and individual patient characteristics significantly complicate the choice of rehabilitation effective methods for each patient, and the errors in the selection of a set of rehabilitation methods can not only reduce the effectiveness of rehabilitation, but also worsen the patient's condition. It is shown that the issues can be resolved on the data mining basis. With a view to formalizing and structuring criteria of a state of the children with disorders of the central nervous system and dynamics of its change the authors have developed a system of indicators, they suggested the adaptive quality control model of the patient rehabilitation and the method of determining the distance indicators from the norm in the Cartesian space.