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Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

All patients randomly assigned to the intervention group will be equipped with an activity tracker (Vivosmart 4, Garmin), an upper-arm BP monitor (Tel-O-Graph BT, IEM), and a 3-channel Holter monitor (net ECG, livetec). Data from the activity tracker will be collected via Bluetooth on the patients’ smartphone and transmitted directly to the TIMELY-Net server (Semdatex) using an application programming interface provided by Fit Rockr to comply with European data protection regulations.

Mirela Habibovic, Emma Douma, Hendrik Schäfer, Manuela Sestayo-Fernandez, Tom Roovers, Xin Sun, Henrik Schmidt, Mona Kotewitsch, Jos Widdershoven, David Cantarero-Prieto, Frank Mooren, Carlos Pena-Gil, José Rámon González Juanatey, Martin Schmidt, Hagen Malberg, Vassilis Tsakanikas, Dimitrios Fotiadis, Dimitris Gatsios, Jos Bosch, Willem Johan Kop, Boris Schmitz

JMIR Res Protoc 2025;14:e66283

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

The first step involves classifying users into one of the three FPPs: health-conscious (HC), omnivore (O), or sweet-tooth (ST). Next, a CVD prediction model calculates the risk for each profile. These profiles and risk assessments serve as inputs for the recommendation system. Dietary intervention, a key feature of the DHI, is based on BCTs that were systematically developed using the Behavior Change Wheel (BCW) framework. Stages in the development of the digital health intervention.

Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

J Med Internet Res 2025;27:e75106