Background This study aims to assess how well several machine learning (ML) algorithms
predict the physical, social, and mental health condition of university students. Objectives …

The article focuses on the employment of a logistic regression model for feature selection,
aiming to assess factors impacting student health and well-being. Recognizing the …

Our research has shown that the use of mobile technologies (mHealth) to improve self-
control of children and adolescents with diabetes, as well as for parental control, gives …

Respiratory diseases are one of the primary causes of death in today's population, and early
detection of lung disorders has always been and continues to be critical. In this sense, it is …

The purpose of our work was to study the effectiveness of using an intelligent information-
analytical system to assess the health status of students on the basis of one of the …