Abstract
In modern society, the health of students is one of the priorities, which is receiving more and more attention. Deviations or any negative changes in health status can negatively affect their academic performance, as well as their quality of life. Therefore, the development of an information and analytical system for monitoring the health of students is a hot topic not only in Kazakhstan. The article presents research as a component for solving this problem. Today, society is paying more and more attention to caring for the health of students, realizing that their well-being is directly reflected in academic and personal indicators. This article describes an approach to creating an information and analytical system based on machine learning and data analysis methods to assess and identify key factors affecting the quality of life of students.