This article discusses the search for a statistical relationship between diseases of the genitourinary system, chronic diseases, surgical interventions and other data on the anamnesis, a womans heredity and pregnancy outcome obtained using assisted reproductive technologies (IVF). The study is conducted with the aim of developing a mathematical model for predicting pregnancy and assessing the health of a child conceived using ART (IVF) at the stage of planning. The conclusions are based on data on 338 women and the diagnoses of their 402 children at the stage of the maternity hospital. A research was made for the effect of 56 binary signs on the outcome of pregnancy, described by 38 characteristics. To identify significant factors, a correlation analysis was performed using Fishers exact test, Chi-square test, and using interval estimates of the shares, and the Z-criterion for the difference of two shares. As the outcomes, the terms and methods of delivery available to the patient group under consideration, as well as the diagnoses of children at the stage of the maternity hospital were selected. To assess the strength of the relationship, Cramers V is applied. The result of the analysis is the identification of 56 significant factors and 35 significant correlations, which will be taken into account in the future for the development of the regression model