AI4FoodDB: a database for personalized e-health nutrition and lifestyle through wearable devices and artificial intelligence
Author
Romero Tapiador, Sergio; Lacruz-Pleguezuelos, Blanca; Tolosana Moranchel, Ruben; Freixer, Gala; Daza Garcia, Roberto; Fernández-Díaz, Cristina M.; Aguilar-Aguilar, Elena; Fernández-Cabezas, Jorge; Cruz-Gil, Silvia; Molina, Susana; Crespo, Maria Carmen; Laguna, Teresa; Marcos-Zambrano, Laura Judith; Vera Rodriguez, Rubén; Fiérrez Aguilar, Julián; Ramírez De Molina, Ana; Ortega Garcia, Javier; Espinosa-Salinas, Isabel; Morales Moreno, Aythami; Carrillo De Santa Pau, EnriquePublisher
Oxford University PressDate
2023-07-18Citation
10.1093/database/baad049
Database: The Journal of Biological Databases and Curation 2023 (2023): baad049
ISSN
1758-0463DOI
10.1093/database/baad049Funded by
Projects: AI4FOOD-CM (Y2020/TCS6654), FACINGLCOVID-CM (PD2022-004-REACT-EU), INTER-ACTION (PID2021-126521OB-I00 MICINN/FEDER) and HumanCAIC (TED2021-131787B-I00); Spanish State Research Agency of the Spanish Ministerio de Ciencia e Innovación and Ministerio de Universidades Juan de la Cierva Grant (IJC2019-042188-I to L.J.M-Z.). Figures were created using resources from https://www.flaticon.comProject
Comunidad de Madrid. AI4FOOD-CM (Y2020/TCS6654); Comunidad de Madrid. FACINGLCOVID-CM (PD2022-004-REACT-EU); Gobierno de España. INTER-ACTION (PID2021-126521OB-I00 MICINN/FEDER); Gobierno de España. IJC2019-042188-I a L.J.M-Z.Editor's Version
https://doi.org/10.1093/database/baad049Subjects
TelecomunicacionesRights
© The Author(s) 2023. Published by Oxford University PressAbstract
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 of the human body and its diseases can be achieved. However, there are still major challenges to overcome, including the need for more robust data and standardization of methodologies for better subject monitoring and assessment. Here, we present the AI4Food database (AI4FoodDB), which gathers data from a nutritional weight loss intervention monitoring 100 overweight and obese participants during 1 month. Data acquisition involved manual traditional approaches, novel digital methods and the collection of biological samples, obtaining: (i) biological samples at the beginning and the end of the intervention, (ii) anthropometric measurements every 2 weeks, (iii) lifestyle and nutritional questionnaires at two different time points and (iv) continuous digital measurements for 2 weeks. To the best of our knowledge, AI4FoodDB is the first public database that centralizes food images, wearable sensors, validated questionnaires and biological samples from the same intervention. AI4FoodDB thus has immense potential for fostering the advancement of automatic and novel artificial intelligence techniques in the field of personalized care. Moreover, the collected information will yield valuable insights into the relationships between different variables and health outcomes, allowing researchers to generate and test new hypotheses, identify novel biomarkers and digital endpoints, and explore how different lifestyle, biological and digital factors impact health. The aim of this article is to describe the datasets included in AI4FoodDB and to outline the potential that they hold for precision health research
Files in this item
Google Scholar:Romero Tapiador, Sergio
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Lacruz-Pleguezuelos, Blanca
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Tolosana Moranchel, Ruben
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Freixer, Gala
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Daza Garcia, Roberto
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Fernández-Díaz, Cristina M.
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Aguilar-Aguilar, Elena
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Fernández-Cabezas, Jorge
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Cruz-Gil, Silvia
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Molina, Susana
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Crespo, Maria Carmen
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Laguna, Teresa
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Marcos-Zambrano, Laura Judith
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Vera Rodriguez, Rubén
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Fiérrez Aguilar, Julián
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Ramírez De Molina, Ana
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Ortega Garcia, Javier
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Espinosa-Salinas, Isabel
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Morales Moreno, Aythami
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Carrillo De Santa Pau, Enrique
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