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

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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Bibliographic Details
Main Authors: Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman
Format: Article
Language:English
Published: JMIR Publications 2025-08-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e75106
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