SEVERITY ASSESSMENT MODEL AFTER CARDIAC SURGERY
The article presents the results probabilistic and statistical models for assessing the severity of patients undergoing cardiac surgery. Developed model used methods of multivariate statistical processing, logistic regression analysis, calculating the coefficients of informativeness selected predictors of risk of adverse outcome of surgery. The resulting model includes 12?presurgical and 11?intra/post-operative risk factors. Developed by our group prognostic risk assessment scale of mortality of patients after cardiac surgery, which was laid in the foundation of the program module, is an automated decision support system the physician in clinical practice. Prognostic significance of the model was formed to assess the probability of survival of 96,4 and 98,0?% mortality respectively.