A.G. Kurochkin - Post-graduate Student, Department of Biomedical Engineering, Southwestern State University, Kursk E-mail: ak.kursk@gmail.com E.S. Shkatova - Post-graduate Student, Voronezh Institute of the State Fire Se Voronezh Institute of the State Fire Service, Voronezh E-mail: lshka28@mail.ru A.N. Shutkin - Ph.D. (Phys.-Math.), Deputy Head of the Institute for Academic Affairs Voronezh Institute of the State Fire Service, Voronezh E-mail: anshutkin@mail.ru

Two-level algorithm meta-analysis is offered In article. On the first stage are defined \"weight of\" experimental samples, falling into meta-analysis. On second stage are defined \"weight\" ersatz marker, used as \"weak\" qualifier. The Aggregation \"weak\" qualifier in \"strong\" is also realized in two stages. Offered technologies are considered on example of the building of the intellectual system of the forecasting traumas, as ersatz marker in which were used results to seeds psychological test. The Got results have shown that designed algorithm meta-analysis is an universal instrument for meta-analysis. The Solving modules as \"weak\", so and \"strong\" qualifier can be built on base of any intellectual platform. Efficiency of the algorithm weakly depends on diagnostic efficiency ersatz marker or from \"ingenious\" shaping the experimental samples. Designed intellectual technologies are directed on increasing quality medical servicing the population and can be used in system screening to diagnostics, automated system of the professional selection, preventive medicine.

 

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