Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

Pablo Solano; Víctor Herrera; Sandra Victoria Abril Ulloa; Jorge Mauricio Espinoza Mejía; Pablo Solano

doi:10.1007/978-3-031-58953-9_18

Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

Pablo Solano (Primer Autor)
, Víctor Herrera
, Sandra Victoria Abril Ulloa
, Jorge Mauricio Espinoza Mejía (Último Autor)
, Pablo Solano (Autor de correspondencia)

Facultad de Ingeniería, Universidad de Cuenca

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Type 2 Diabetes Mellitus (T2DM) is one of the biggest threats to Ecuador’s health. The intake of processed foods has been linked to a higher risk of T2DM. This paper proposes FoodSub, a mobile application to recommend substitutes for processed foods using the NOVA Classification. Nutrient-based food clustering is used to identify substitute pairs between processed and unprocessed foods. The recommendations are supported and personalized using a knowledge graph that contains foods, dietary guidelines, and user information. In addition, a chatbot is implemented to answer simple questions about foods. This chatbot is developed using a Large Language Model (LLM) to query the knowledge graph. The mobile application and the chatbot are evaluated in terms of usability; both perform well, but there is room for improvement. Additionally, the recommendations’ performance is evaluated through expert verification. The recommendations perform well when issues like food transformation processes, flavor, context, or meal time are not relevant. Future work will consider the enhancement of the chatbot and the improvement of substitute recommendations for the relevant cases.

Idioma original	Inglés
Título de la publicación alojada	5th International Conference on Applied Technologies, ICAT 2023
Editores	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	226-240
Número de páginas	15
ISBN (versión impresa)	9783031589522
DOI	https://doi.org/10.1007/978-3-031-58953-9_18
Estado	Publicada - 2024
Evento	5th International Conference on Applied Technologies, ICAT 2023 - Samborondon, Ecuador Duración: 22 nov. 2023 → 24 nov. 2023

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	2050 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	5th International Conference on Applied Technologies, ICAT 2023
País/Territorio	Ecuador
Ciudad	Samborondon
Período	22/11/23 → 24/11/23

Palabras clave

Chatbot
Clustering
Knowledge graph
Processed foods

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-031-58953-9_18

Otros archivos y enlaces

Implementación Y Evaluación De Una Herramienta Informática Basada En Grafos De Conocimiento, Algoritmos De Visión Artificial Y Aplicaciones Móviles Para Promoción De Alimentación Saludable En Adultos Jóvenes Ecuatorianos
Espinoza Mejia, J. M. (Director), Robles Bykbaer, V. E. (Director), Abril Ulloa, S. V. (Investigador), Encalada Torres, L. E. (Investigador), Carrera Hidalgo, P. E. (Investigador Asociado), Quisi Peralta, D. F. (Investigador Asociado), Robles Bykbaev, Z. Y. (Investigador Asociado) & Morales Avilez, D. E. (Personal Tecnico Asimilado)
15/03/21 → 14/03/23
Proyecto: Investigación

Citar esto

Solano, P., Herrera, V., Abril Ulloa, S. V., Espinoza Mejía, J. M., & Solano, P. (2024). Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. En M. Botto-Tobar, M. Zambrano Vizuete, S. Montes León, P. Torres-Carrión, & B. Durakovic (Eds.), 5th International Conference on Applied Technologies, ICAT 2023 (pp. 226-240). (Communications in Computer and Information Science; Vol. 2050 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-58953-9_18

Solano, Pablo ; Herrera, Víctor ; Abril Ulloa, Sandra Victoria et al. / Preventing Diabetes : Substituting Processed Foods and Nutritional Chatbot Assistance. 5th International Conference on Applied Technologies, ICAT 2023. editor / Miguel Botto-Tobar ; Marcelo Zambrano Vizuete ; Sergio Montes León ; Pablo Torres-Carrión ; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2024. pp. 226-240 (Communications in Computer and Information Science).

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title = "Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance",

abstract = "Type 2 Diabetes Mellitus (T2DM) is one of the biggest threats to Ecuador{\textquoteright}s health. The intake of processed foods has been linked to a higher risk of T2DM. This paper proposes FoodSub, a mobile application to recommend substitutes for processed foods using the NOVA Classification. Nutrient-based food clustering is used to identify substitute pairs between processed and unprocessed foods. The recommendations are supported and personalized using a knowledge graph that contains foods, dietary guidelines, and user information. In addition, a chatbot is implemented to answer simple questions about foods. This chatbot is developed using a Large Language Model (LLM) to query the knowledge graph. The mobile application and the chatbot are evaluated in terms of usability; both perform well, but there is room for improvement. Additionally, the recommendations{\textquoteright} performance is evaluated through expert verification. The recommendations perform well when issues like food transformation processes, flavor, context, or meal time are not relevant. Future work will consider the enhancement of the chatbot and the improvement of substitute recommendations for the relevant cases.",

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Solano, P, Herrera, V, Abril Ulloa, SV , Espinoza Mejía, JM & Solano, P 2024, Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. En M Botto-Tobar, M Zambrano Vizuete, S Montes León, P Torres-Carrión & B Durakovic (eds.), 5th International Conference on Applied Technologies, ICAT 2023. Communications in Computer and Information Science, vol. 2050 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 226-240, 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, 22/11/23. https://doi.org/10.1007/978-3-031-58953-9_18

Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. / Solano, Pablo (Primer Autor); Herrera, Víctor; Abril Ulloa, Sandra Victoria et al.
5th International Conference on Applied Technologies, ICAT 2023. ed. / Miguel Botto-Tobar; Marcelo Zambrano Vizuete; Sergio Montes León; Pablo Torres-Carrión; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2024. p. 226-240 (Communications in Computer and Information Science; Vol. 2050 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T2 - 5th International Conference on Applied Technologies, ICAT 2023

AU - Solano, Pablo

AU - Herrera, Víctor

AU - Abril Ulloa, Sandra Victoria

AU - Espinoza Mejía, Jorge Mauricio

AU - Solano, Pablo

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Type 2 Diabetes Mellitus (T2DM) is one of the biggest threats to Ecuador’s health. The intake of processed foods has been linked to a higher risk of T2DM. This paper proposes FoodSub, a mobile application to recommend substitutes for processed foods using the NOVA Classification. Nutrient-based food clustering is used to identify substitute pairs between processed and unprocessed foods. The recommendations are supported and personalized using a knowledge graph that contains foods, dietary guidelines, and user information. In addition, a chatbot is implemented to answer simple questions about foods. This chatbot is developed using a Large Language Model (LLM) to query the knowledge graph. The mobile application and the chatbot are evaluated in terms of usability; both perform well, but there is room for improvement. Additionally, the recommendations’ performance is evaluated through expert verification. The recommendations perform well when issues like food transformation processes, flavor, context, or meal time are not relevant. Future work will consider the enhancement of the chatbot and the improvement of substitute recommendations for the relevant cases.

AB - Type 2 Diabetes Mellitus (T2DM) is one of the biggest threats to Ecuador’s health. The intake of processed foods has been linked to a higher risk of T2DM. This paper proposes FoodSub, a mobile application to recommend substitutes for processed foods using the NOVA Classification. Nutrient-based food clustering is used to identify substitute pairs between processed and unprocessed foods. The recommendations are supported and personalized using a knowledge graph that contains foods, dietary guidelines, and user information. In addition, a chatbot is implemented to answer simple questions about foods. This chatbot is developed using a Large Language Model (LLM) to query the knowledge graph. The mobile application and the chatbot are evaluated in terms of usability; both perform well, but there is room for improvement. Additionally, the recommendations’ performance is evaluated through expert verification. The recommendations perform well when issues like food transformation processes, flavor, context, or meal time are not relevant. Future work will consider the enhancement of the chatbot and the improvement of substitute recommendations for the relevant cases.

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PB - Springer Science and Business Media Deutschland GmbH

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Solano P, Herrera V, Abril Ulloa SV , Espinoza Mejía JM, Solano P. Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. En Botto-Tobar M, Zambrano Vizuete M, Montes León S, Torres-Carrión P, Durakovic B, editores, 5th International Conference on Applied Technologies, ICAT 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 226-240. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-58953-9_18