Objective — to develop the personalized approach to prediction of preeclampsia development using the multifactorial analysis of anamnestic, phenotypical and genetic data. Material and methods. The study included a total number of 197 pregnant women (97 pre-eclamptic patients and 100 healthy control women). The twenty six sighs, including the clinical, anamnestic, demographic and genotypic characteristics were estimated. All participants were genotyped for the +936C>T (rs3025039) and –2578 A>C (rs699947) polymorphisms of vascular endothelial growth factor A (VEGF-A) gene, using method of polymerase chain reaction (PCR) and restriction fragment length polymorphism analysis. The data were analyzed with methods of binary and multifactorial mathematical statistics. Results. The anamnestic, phenotypic and genotypic characteristics were examined as preeclampsia (PE) predictors using multifactorial analysis. Age, sequence of the pregnancy, PE, miscarriage in a previous pregnancy, infertility, placental insufficiency, migraine, nasal bleedings, retinal diseases, rosacea, dermographism, nigrotide acanthosis and psoriasis, as well as a carriage +936C>T and –2578 A>C alleles of VEGF-A gene were determinate as most informative characteristics. These signs formed the basis to calculate prognostic test using Bayesian decision rule. At final stage the mixed «exam group», including preeclamptic patients and healthy pregnant women, was tested to evaluate the prognostic test quality. Conclusions. It is expedient to use the developed prognostic test in obstetric and gynecologic practice for the purpose of individual prediction of development of a preeclampsia before pregnancy or in early term.