AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence

Database (Oxford) 2024-04-24

Summary:

The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines to the unique circumstances of each individual. With the latest advances in technology and data science, researchers can now automatically collect and analyze large amounts of data from a variety of sources, including wearable and smart devices. By combining these diverse data, more comprehensive insights...

Link:

https://pubmed.ncbi.nlm.nih.gov/37465917/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20240424215009&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » Database (Oxford)

Tags:

Authors:

Sergio Romero-Tapiador, Blanca Lacruz-Pleguezuelos, Ruben Tolosana, Gala Freixer, Roberto Daza, Cristina M Fernández-Díaz, Elena Aguilar-Aguilar, Jorge Fernández-Cabezas, Silvia Cruz-Gil, Susana Molina, Maria Carmen Crespo, Teresa Laguna, Laura Judith Marcos-Zambrano, Ruben Vera-Rodriguez, Julian Fierrez, Ana Ramírez de Molina, Javier Ortega-Garcia, Isabel Espinosa-Salinas, Aythami Morales, Enrique Carrillo de Santa Pau

Date tagged:

04/24/2024, 21:56

Date published:

07/19/2023, 06:00