Olga V. Marukhina, Olga G. Berestneva

Tomsk Polytechnic University

An approach to the development of the algorithmic base of the medical decision support system when choosing the trajectory of treatment for children with an excessive weight is proposed. The structure of the missing data of clinical and laboratory indicators was studied, the missing values were restored using the multiple recovery method, and the size was reduced using the R language packages. Based on the results, a decision-making model was constructed and a set of rules for selecting the treatment trajectory was formed. As a result, a data processing algorithm was formed to decide on the choice of treatment group for overweight children.

multidimensional data, data analysis, medical decision support system, medical research, data recovery, dimension reduction, logical rules