'''GMDH-based Forecasting of the Test Results of Blood Samples in Task of the Effective Medicines Estimation'''. Nina Kondrashova, Andriy Pavlov

'''Abstract'''. ''Constructing of forecasting models for values of tiol-disulfide ratios in blood samples for several measurements is considered for decreasing the time and cost of patients examination. Models are obtained by the inductive algorithms. The accuracy of forecast at examination samples is maximized by preprocessing, by the use of trend model and remainders model, by optimization of data sample division, by recursive forecast for the remainders model, and by sequential use of selection criteria. The criteria and the results of numerical experiments are given. Applications of difference model and of modeling algorithm with two-stage division of an initial sample (TSDMA) are more effective in comparison with the other GMDH algorithms.''

'''Keywords'''. Forecasting model, GMDH algorithm, sample division, recursive forecast, tiol-disulfide ratio.

'''References'''.
[[br]]1. Kondrashova N.V., Pavlov A.V., Forecasting models for the estimation of tiol-disulfide ratio by the three-stage sample division. Control Systems and Computers, 2008, no.3. (in Russian).
[[br]]2. Vanin A. I., Pavlov Alex. V., Development and application of self-organization algorithms for modeling of complex processes and objects which are represented by the point former. // Works of Tavryiskoi Government agrotechnical academy, Pub. 4, Vol. 24, Melitopol, 2004, 51-56. (In Ukrainian)
[[br]]3. Ivakhnenko A.G., Stepashko V.S. Noise immunity of modeling. Naukova dumka, Kiev, 1985, p.214 (in Russian) - http://www.gmdh.net/articles/theory/zmStep.htm
[[br]]4. Stepashko V.S., Kondrashova N.V. Research of methods of sample division in the GMDH algorithms. Works of I International Conference on Inductive Modeling, Lviv, 2002, Vol. 1, P.1, pp.90-94 (in Russian).