The thesis is devoted to improving efficiency and conduct of assisted reproductive technologies (ART) in fertile couples. Analysis of the theoretical aspects of medical and social problems of infertility couples and as new information technologies in solving it showed that modern full instrumental study of women aimed at quantitative evaluation of health, must be performed using a set of mathematical, software and methods and means, given the initial state of the patient, the impact of external and internal risks, and so on. The significant and rapid decrease in the frequency of adverse effects in the treatment of infertility associated with technology to provide professional knowledge discovery from data collected, and on this basis to develop preventive measures, it is to combat complications. There was the criterion of relevance to the tasks of knowledge extraction. Using the criterion can significantly narrow down the areas of further research and provide statistical research focus. This is evidenced by a significant decrease in spreading data - the average expectation error (± m) decreases in all cases, two or more times. Found a further development of assisted reproductive technologies. Particular, we show the effectiveness of the use of FISH to determine whether balanced and unbalanced karyotype embryos in the family history which weighed balanced reciprocal translocation of the presence of his father. Direct FISH- analysis directly in interphase cells is a reliable and informative method of rapid detection mozayitsyzm with high sensitivity and specificity. Confirmation of the validity of the method is in the high values of the coefficients of asymmetry and kurtosis. They can be used to quickly assess the presence of pathology. There was also showed that FISH had value as to the method of pro-and metaphase preparations and the analysis of undivided cells. First time proposed the concept of a knowledge base in medical diagnosis of the condition of patients with ART. The knowledge base contains a model of ontology field, which in turn consists of three parts: the model of observations, models of knowledge on disease models of patient records. The first time was showed the use of multi-level ontology to be transformed into two-or three-dimensional space for the solution of certain diagnostic and prognostic tasks and the use of ontology knowledge to state diagnose and prognosis in the real time. There was showed of the state diagnostic to 92±2,1 % and forecasting of - 87±2,6 %. The total factorial load of clinical signs that can be used to predict the outcome of ART is sufficiently large. There was achieved the level, on average, 77±3,2 % of cases may provide prognosis of the successful outcome. Among the groups most specific signs factorial load for predicting conditions in ART are indicators of regulatory mechanisms (p<0,05). See other clinical features in common importance for predicting IVF outcomes quantitatively between them was not statistically different (p>0,05). For the first time the problem of assessing the informational value of individual symptoms as a variable, depending on the patient's symptoms and tendencies of its development process. It is proved that the information content of indicators and symptoms and research in general depends on its place in the diagnostic process, and on temporal logic appearance of individual characteristics. To predict the specific conditions of women after ART and complications first time was recommended on pair wise comparison of the possible test status appearance by direct projection of such a decision on the following for the analyzed state. Based on the analysis of factorial effect of individual clinical indicators were identified five groups of indicators. The first symptoms group consists of the key regulatory molecules implantation undergoing laboratory analysis. The second group consisted of indicators hormonal status of women, their relationships and dynamics during the menstrual cycle. The third group is represented by anatomical and physiological indicators of women, and the fourth - the clinical parameters associated with the so -called "male factor." Finally, the fifth group brings together indicators of technological perfection conduct ART. There was examined the efficiency of distance knowledge transfer and the possibility of telemedicine consultation (TMC) during ART procedures. Reproduction basis of distance learning was proposed hypothesis that the best feature of modern knowledge transfer is such a degree of harmonization of the system of multi-channel and multi-level interface between learners and teachers, where relevant factors of relevance and transformation of knowledge is close to unity. Experimental study of the effectiveness of the use of this technology in cycles of thematic improvement can reduce the transmission of the necessary knowledge to 34,3±5,5 %. At the same time improves comfort subjective evaluation study on average 20,1±4,9 %. As part of the creation of telemedicine consultation reasonably uses the feedback system ontology knowledge on ART, which allows for rapid filling of the necessary data. First proposed special rate of extraction efficiency of new knowledge in the TMC, which is equal to the number of new connections k previously established.
