Mathematical modeling-based choice of conservative treatment of myopia

The purpose of the study is to develop a method for selecting the most effective conservative method of treating myopia using mathematical modeling. Material and Methods. The study included data on treatment of two groups of patients (n=141) aged 12 to 17 years with mild and moderate acquired (school) myopia, who used various combined methods of conservative treatment of myopia. Mathematical modeling was based on the method of constructing classification trees. Results. A method has been developed for selecting the most effective conservative treatment of myopia with a good sensitivity of 84% and specificity of 74%. Prediction models formed the basis of a computer program designed to determine the most effective method of conservative treatment of myopia based on the most informative data: patient's medical history, initial visual indicators, integral index of vegetative status (intensity index) and initial vegetative status, results of psychological evaluation of the symptoms by the patient. Conclusion. The use of computer technologies makes it possible to optimize the choice of an adequate method of treating myopia with the exception of subjective factor.