Prediction Algorithm of Physical Health Risk Factors of Young Students Based on Profound Education

Abstract

The health of young people is the cornerstone of the general development of society and the key to improve the quality of human health. Physical exams and monitoring work for middle school children are a solid way of ensuring a healthy growth. The worst health consequences for the pupils induced by teenage health risk components include poor vision, dental cavities, overexercise and high blood pressure. The retinal fundus vascular system is the first internal vascular system to be examined in noninvasive conditions for the human body. Researchers were concerned. Fundus pictures give a plethora of information about diseases. Fundus pictures were widely employed in medical auxiliary diagnosis, since many significant human body systemic disorders caused specific reactions in the fundus. This study presents a retinal segmentation model based on attention mechanisms to overcome the problem of indivisible small blood veins. Given the partition of discontinuous problems between retinal arteriovenous systems, the topological structure of the restriction system together with the removal of the network and the limitations on topology are monitored. Finally, two publicly available datasets completed simulation trials. The +e results demonstrate that the proposed procedure in physical health risk factors for adolescent students is trustworthy, effective and accurate.