Develop Health Monitoring and Management System to Track Health Condition and Nutrient Balance for School Students

TL;DR

This paper presents a scalable health monitoring and management system designed specifically for primary school students, enabling tracking of health conditions and nutrient balance with potential for disease prediction using big data techniques.

Contribution

It introduces a comprehensive framework for a health monitoring system tailored for school students, integrating scalable procedures and big data methodologies for future disease prediction.

Findings

Proposed a complete health monitoring framework for primary students.

Outlined procedures for scalable implementation and data analysis.

Highlighted potential for early disease prediction using big data.

Abstract

Health Monitoring and Management System (HMMS) is an emerging technology for decades. Researchers are working on this field to track health conditions for different users. Researchers emphasize tracking health conditions from an early stage to the human body. Therefore, different research works have been conducted to establish HMMS in schools. Researchers propose different frameworks and technologies for their HMMS to check student's health condition. In this paper, we introduce a complete and scalable HMMS to track health conditions and nutrient balance for students from primary school. We define procedures step by step to establish a robust HMMS where big data methodologies can be used for further prediction for diseases.