Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Intervention: Conceptual Pipeline Development and Proof-of-Principle Study
Abstract BackgroundPersonalized dietary advice needs to consider the individual’s health risks as well as specific food preferences, offering healthier options aligned with personal tastes. ObjectiveThis study aimed to develop a digital health intervention (DHI) th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-08-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2025/1/e75106 |
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