Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

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

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

Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

Pablo Solano (First Author)
, Víctor Herrera
, Sandra Victoria Abril Ulloa
, Jorge Mauricio Espinoza Mejía (Last Author)

Universidad de Cuenca, Facultad de Ingeniería

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	5th International Conference on Applied Technologies, ICAT 2023
Editors	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	226-240
Number of pages	15
ISBN (Print)	9783031589522
DOIs	https://doi.org/10.1007/978-3-031-58953-9_18
State	Published - 2024
Event	5th International Conference on Applied Technologies, ICAT 2023 - Samborondon, Ecuador Duration: 22 Nov 2023 → 24 Nov 2023

Publication series

Name	Communications in Computer and Information Science
Volume	2050 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	5th International Conference on Applied Technologies, ICAT 2023
Country/Territory	Ecuador
City	Samborondon
Period	22/11/23 → 24/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Chatbot
Clustering
Knowledge Graph
Processed Foods

Access to Document

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

Cite this

Solano, P., Herrera, V., Abril Ulloa, S. V., & Espinoza Mejía, J. M. (2024). Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. In 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).

@inproceedings{746ed8df4cef467a8c487f8779eecf36,

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.",

keywords = "Chatbot, Clustering, Knowledge Graph, Processed Foods, Chatbot, Clustering, Knowledge graph, Processed foods",

author = "Pablo Solano and V{\'i}ctor Herrera and \{Abril Ulloa\}, \{Sandra Victoria\} and \{Espinoza Mej{\'i}a\}, \{Jorge Mauricio\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 5th International Conference on Applied Technologies, ICAT 2023 ; Conference date: 22-11-2023 Through 24-11-2023",

year = "2024",

doi = "10.1007/978-3-031-58953-9\_18",

language = "Ingl{\'e}s",

isbn = "9783031589522",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "226--240",

editor = "Miguel Botto-Tobar and \{Zambrano Vizuete\}, Marcelo and \{Montes Le{\'o}n\}, Sergio and Pablo Torres-Carri{\'o}n and Benjamin Durakovic",

booktitle = "5th International Conference on Applied Technologies, ICAT 2023",

}

Solano, P, Herrera, V, Abril Ulloa, SV & Espinoza Mejía, JM 2024, Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. in 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 (First Author); 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Preventing Diabetes

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

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.

KW - Chatbot

KW - Clustering

KW - Knowledge Graph

KW - Processed Foods

KW - Chatbot

KW - Clustering

KW - Knowledge graph

KW - Processed foods

UR - https://www.scopus.com/pages/publications/85196109554

UR - https://link.springer.com/chapter/10.1007/978-3-031-58953-9_18

U2 - 10.1007/978-3-031-58953-9_18

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

M3 - Contribución a la conferencia

AN - SCOPUS:85196109554

SN - 9783031589522

T3 - Communications in Computer and Information Science

SP - 226

EP - 240

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

A2 - Botto-Tobar, Miguel

A2 - Zambrano Vizuete, Marcelo

A2 - Montes León, Sergio

A2 - Torres-Carrión, Pablo

A2 - Durakovic, Benjamin

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 22 November 2023 through 24 November 2023

ER -

Solano P, Herrera V, Abril Ulloa SV , Espinoza Mejía JM. Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance. In Botto-Tobar M, Zambrano Vizuete M, Montes León S, Torres-Carrión P, Durakovic B, editors, 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

Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Implementation and evaluation of a computer tool based on knowledge graphs, artificial vision algorithms and mobile applications for healthy eating promotion in Ecuadorian young adults

Cite this

Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Implementation and evaluation of a computer tool based on knowledge graphs, artificial vision algorithms and mobile applications for healthy eating promotion in Ecuadorian young adults

Cite this