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

Facultad de Ingeniería

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

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
Editores	Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	169-175
Número de páginas	7
ISBN (versión impresa)	9783030575656
DOI	https://doi.org/10.1007/978-3-030-57566-3_17
Estado	Publicada - 2021
Evento	5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brasil Duración: 22 oct. 2019 → 24 oct. 2019

Serie de la publicación

Nombre	Smart Innovation, Systems and Technologies
Volumen	202
ISSN (versión impresa)	2190-3018
ISSN (versión digital)	2190-3026

Conferencia

Conferencia	5th Brazilian Technology Symposium, BTSym 2019
País/Territorio	Brasil
Ciudad	Campinas
Período	22/10/19 → 24/10/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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

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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. En Y. Iano, R. Arthur, O. Saotome, G. Kemper, & A. C. Borges Monteiro (Eds.), 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

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. editor / 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).

@inproceedings{52a0800d20624e62b87d9a12c462aab4,

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

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.",

keywords = "Primary prevention, Type 2 diabetes mellitus, Wearable",

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note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th Brazilian Technology Symposium, BTSym 2019 ; Conference date: 22-10-2019 Through 24-10-2019",

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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. En Y Iano, R Arthur, O Saotome, G Kemper & AC Borges Monteiro (eds.), 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, Brasil, 22/10/19. 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. ed. / 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).

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

TY - GEN

T1 - A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables

AU - Nuñovero, Daniela

AU - Rodríguez, Ernesto

AU - Armas, Jimmy

AU - Gonzalez, Paola

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Primary prevention

KW - Type 2 diabetes mellitus

KW - Wearable

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M3 - Contribución a la conferencia

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SN - 9783030575656

T3 - Smart Innovation, Systems and Technologies

SP - 169

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BT - Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology

A2 - Iano, Yuzo

A2 - Arthur, Rangel

A2 - Saotome, Osamu

A2 - Kemper, Guillermo

A2 - Borges Monteiro, Ana Carolina

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th Brazilian Technology Symposium, BTSym 2019

Y2 - 22 October 2019 through 24 October 2019

ER -

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. En Iano Y, Arthur R, Saotome O, Kemper G, Borges Monteiro AC, editores, 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

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

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