From Data to Care: An AI-Driven Framework for Student Health-Management in Schools

Abstract

Developing countries continuously strive to improve their standards of living. By linking to current trend technology, the e-healthcare management system can improve treatment methods. The proposed study indicates the mechanism to improve the e-health system for developing countries at the school level, where there is a lower literacy rate and more poverty. The primary purpose of this study was to assess students at the school level, specifically children in elementary and middle school classes. After the teacher performs the scan, he identifies the basic health issues of the students. These health issues include basic dental, skin, eyesight, hearing, and personal hygiene issues. The students ' health issues were identified. Subsequently, corrective actions are implemented. Report sharing includes service management based on Cloud Computing. This research paper mentions that the main significance of the study is the use of AI models on students' health data. Supervised algorithms are used to identify students with the same issues. The system can identify students who, by chance, missed the complete scanning or were partially available