An Application in Health Monitoring Systems: A Deep Learning-based Flu Detection model

¹ Data Science Laboratory, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
² Faculty of Electrical engineering, University of Science and Technology, The University of Danang, Da Nang 50000, Vietnam
³ Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
⁴ Department of Semiconductor and Microelectronics, FPT University, Da Nang 50000, Vietnam

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Abstract

Monitoring the health status of students within confined spaces is critical for preventing flu outbreaks and ensuring a healthy educational environment. This proposed Flu Detection model is an innovative approach designed to swiftly identify instances of flu among students. Which is a supervised learning model enhanced with Mixture augmentation classifies various flu types with high accuracy, leveraging a robust training dataset. This comprehensive model yields strong experimental results on flu datasets, demonstrating effectiveness in identifying flu cases, showcasing its potential for health monitoring in educational facilities.