Application and Optimization of Smart Digital Health Platforms in Personalized Nutrition and Chronic Disease Management

Sophia Chen; Daniel Nguyen; Emily Foster; Michael R. Adams

Authors

Sophia Chen Department of Cardiology, University of Toronto, Toronto, ON, Canada Author
Daniel Nguyen Institute for Medical Data Science, University of Alberta, Edmonton, AB, Canada Author
Emily Foster Institute for Medical Data Science, University of Alberta, Edmonton, AB, Canada Author
Michael R. Adams Department of Cardiology, University of Toronto, Toronto, ON, Canada Author

Keywords:

digital health, personalized nutrition, chronic disease management, smart platform, data analysis

Abstract

With the rapid growth of digital health technology, smart digital health platforms are playing an increasingly important role in chronic disease management. This study examines their application in managing diabetes, hypertension, and other chronic conditions, using an adaptive data system that integrates large-scale data analysis, predictive models, and personalized nutrition guidance. Through clinical trials and data evaluation, the study assesses the platform’s effectiveness in tailored dietary recommendations, health monitoring and early disease alerts. The findings indicate that the platform helps patients improve self-care, enhances the accuracy of nutritional interventions, and lowers disease risks, providing scientific support for digital healthcare in chronic disease control and promoting the advancement of precision health management technologies.

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