The peculiarity of this approach is based on the need to automate and informatize multiparameter biomedical indicators, the number of records which reaches millions in the medical information system qMS (developer – joint stock company “SPARM”, Saint-Petersburg, Russia) stored on servers in Almazov National Medical Research Centre, St. Petersburg, Russia. In addition, the parameter sets themselves can consist of several dozens of indicators. Thus, the task is to give the doctor an integral convolution of indicators of the medical system, adequately describing and understandable to medical personnel. It also presents one of the ways to process Big Data in the medical field. Clinical materials were collected by doctors Kurapeev D. I. and Kabanov V. O.

The dynamics of acid-base state (ABS) of circulating blood in the artery and in the cavernous sinus (CS) was studied in 3 groups consisting of 391 patients with cardiac pathology in the postoperative period in the operating room and in the cardio-resuscitation Department at 6 points. The ABS system consisting of 21 biochemical parameters was considered. The parameters are given in the table. The results of dynamics simulation in CS are discussed in article. In the present study, the task was to build similar models for ABS dynamics in the artery and compare it with ABS dynamics in CS by the following methods.