Machine Learning in Student Health - A Review

Abstract

Students' health is an important research topic today because they are the cornerstone of our society. Researchers have used various technological breakthroughs to address schoolchildren's and college/university students' health issues, and machine learning is now frequently employed. However, to understand the efficacy of machine learning and progress in student health research, a concise review of the influence of machine learning on student health is required, which the paper provides. The paper's primary objective is to examine which of the students' health concerns are efficiently addressed by machine learning algorithms and the outcomes of the approaches. The paper also discusses what leads students to perform poorly in schools, colleges, and universities and if machine learning will improve student health in the future. The review findings can be helpful to researchers in moving forward with unaddressed health-related problems and other solutions concerning the student's health.