Subproject Four: Virtual Module Platform System Development Plan With the rapid advancement of digital healthcare, virtual health platforms are becoming essential tools for improving health management. This project focuses on developing a virtual platform system centered on personal-generated health data (PGHD). By integrating wearable devices and risk prediction models, it aims to provide real-time and […]
https://ntuhcares.com/wp-content/uploads/2025/05/admin-ajax.jpeg267400ntuhcaresgroup/wp-content/uploads/2024/12/CARES-LOGO.pngntuhcaresgroup2025-05-22 09:04:002025-05-26 21:03:22Virtual Module Platform System Development Plan
Subproject One: Development of Chronic Disease Risk Prediction Models Chronic diseases such as diabetes, chronic lung disease, cardiovascular disease, Parkinson’s disease, and liver diseases are significant challenges in modern healthcare. This project leverages health check-up data and artificial intelligence (AI) technologies to develop various risk prediction models, facilitating early screening and personalized health management. Below […]
Subproject Two: Development of Health Behavior Promotion Modules Modern medicine increasingly emphasizes the prevention of chronic diseases through changes in health behavior. This project focuses on the impact of exercise interventions and sleep quality on health, developing practical behavior promotion modules to help individuals improve their health management capabilities. The key research highlights and findings […]
https://ntuhcares.com/wp-content/uploads/2025/05/ChatGPT-Image-2025年5月26日-下午09_06_21.png10241024admin/wp-content/uploads/2024/12/CARES-LOGO.pngadmin2025-05-19 12:03:052025-05-26 21:07:05Development of Health Behavior Promotion Modules
Subproject Three: Chip Development Project Modern healthcare is rapidly evolving with the miniaturization and smartification of devices, transforming health management methods. This project focuses on the development of wearable sensing technologies and ion sensing models to provide precise and real-time health monitoring tools, enhancing disease diagnosis and recovery efficiency. The key highlights of the research […]
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Virtual Module Platform System Development Plan
Research ResultsSubproject Four: Virtual Module Platform System Development Plan With the rapid advancement of digital healthcare, virtual health platforms are becoming essential tools for improving health management. This project focuses on developing a virtual platform system centered on personal-generated health data (PGHD). By integrating wearable devices and risk prediction models, it aims to provide real-time and […]
Development of Chronic Disease Risk Prediction Models
Research ResultsSubproject One: Development of Chronic Disease Risk Prediction Models Chronic diseases such as diabetes, chronic lung disease, cardiovascular disease, Parkinson’s disease, and liver diseases are significant challenges in modern healthcare. This project leverages health check-up data and artificial intelligence (AI) technologies to develop various risk prediction models, facilitating early screening and personalized health management. Below […]
Development of Health Behavior Promotion Modules
Research ResultsSubproject Two: Development of Health Behavior Promotion Modules Modern medicine increasingly emphasizes the prevention of chronic diseases through changes in health behavior. This project focuses on the impact of exercise interventions and sleep quality on health, developing practical behavior promotion modules to help individuals improve their health management capabilities. The key research highlights and findings […]
Chip Development Project
Research ResultsSubproject Three: Chip Development Project Modern healthcare is rapidly evolving with the miniaturization and smartification of devices, transforming health management methods. This project focuses on the development of wearable sensing technologies and ion sensing models to provide precise and real-time health monitoring tools, enhancing disease diagnosis and recovery efficiency. The key highlights of the research […]