A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables

Daniela Nuñovero; Ernesto Rodríguez; Jimmy Armas; Paola Gonzalez

doi:10.1007/978-3-030-57566-3_17

A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables

Daniela Nuñovero, Ernesto Rodríguez, Jimmy Armas, Paola Gonzalez

Management

Management

Résultat de recherche: Conference contribution

Résumé

This paper proposes a technological solution using a predictive analysis model to identify and reduce the level of risk for type 2 diabetes mellitus (T2DM) through a wearable device. Our proposal is based on previous models that use the auto-classification algorithm together with the addition of new risk factors, which provide a greater contribution to the results of the presumptive diagnosis of the user who wants to check his level of risk. The purpose is the primary prevention of type 2 diabetes mellitus by a non-invasive method composed of the phases: (1) Capture and storage of risk factors; (2) Predictive analysis model; (3) Presumptive results and recommendations; and (4) Preventive treatment. The main contribution is in the development of the proposed application.

Langue d'origine	English
Titre de la publication principale	Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
Éditeurs	Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
Maison d'édition	Springer Science and Business Media Deutschland GmbH
Pages	169-175
Nombre de pages	7
ISBN (imprimé)	9783030575656
DOI	https://doi.org/10.1007/978-3-030-57566-3_17
Statut de publication	Published - 2021
Événement	5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil Durée: oct. 22 2019 → oct. 24 2019

Séries de publication

Prénom	Smart Innovation, Systems and Technologies
Volume	202
ISSN (imprimé)	2190-3018
ISSN (électronique)	2190-3026

Conference

Conference	5th Brazilian Technology Symposium, BTSym 2019
Pays/Territoire	Brazil
Ville	Campinas
Période	10/22/19 → 10/24/19

Note bibliographique

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

General Decision Sciences
General Computer Science

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

Accès au document

10.1007/978-3-030-57566-3_17

Autres fichiers et liens

Citer

Nuñovero, D., Rodríguez, E., Armas, J., & Gonzalez, P. (2021). A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables. Dans Y. Iano, R. Arthur, O. Saotome, G. Kemper, & A. C. Borges Monteiro (Éds.), Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology (pp. 169-175). (Smart Innovation, Systems and Technologies; Vol. 202). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-57566-3_17

A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables. / Nuñovero, Daniela; Rodríguez, Ernesto; Armas, Jimmy et al.
Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. éd. / Yuzo Iano; Rangel Arthur; Osamu Saotome; Guillermo Kemper; Ana Carolina Borges Monteiro. Springer Science and Business Media Deutschland GmbH, 2021. p. 169-175 (Smart Innovation, Systems and Technologies; Vol. 202).

Résultat de recherche: Conference contribution

Nuñovero, D, Rodríguez, E, Armas, J & Gonzalez, P 2021, A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables. dans Y Iano, R Arthur, O Saotome, G Kemper & AC Borges Monteiro (éds), Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. Smart Innovation, Systems and Technologies, vol. 202, Springer Science and Business Media Deutschland GmbH, pp. 169-175, 5th Brazilian Technology Symposium, BTSym 2019, Campinas, Brazil, 10/22/19. https://doi.org/10.1007/978-3-030-57566-3_17

Nuñovero D, Rodríguez E, Armas J, Gonzalez P. A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables. Dans Iano Y, Arthur R, Saotome O, Kemper G, Borges Monteiro AC, éditeurs, Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 169-175. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-57566-3_17

Nuñovero, Daniela ; Rodríguez, Ernesto ; Armas, Jimmy et al. / A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables. Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. éditeur / Yuzo Iano ; Rangel Arthur ; Osamu Saotome ; Guillermo Kemper ; Ana Carolina Borges Monteiro. Springer Science and Business Media Deutschland GmbH, 2021. pp. 169-175 (Smart Innovation, Systems and Technologies).

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abstract = "This paper proposes a technological solution using a predictive analysis model to identify and reduce the level of risk for type 2 diabetes mellitus (T2DM) through a wearable device. Our proposal is based on previous models that use the auto-classification algorithm together with the addition of new risk factors, which provide a greater contribution to the results of the presumptive diagnosis of the user who wants to check his level of risk. The purpose is the primary prevention of type 2 diabetes mellitus by a non-invasive method composed of the phases: (1) Capture and storage of risk factors; (2) Predictive analysis model; (3) Presumptive results and recommendations; and (4) Preventive treatment. The main contribution is in the development of the proposed application.",

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A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables

Résumé

Séries de publication

Conference

Note bibliographique

ASJC Scopus Subject Areas

ODD de l’ONU

Accès au document

Autres fichiers et liens

Empreinte numérique

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