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

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas
Dalhousie University

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

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.

Original language	English
Title of host publication	Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
Editors	Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	169-175
Number of pages	7
ISBN (Print)	9783030575656
DOIs	https://doi.org/10.1007/978-3-030-57566-3_17
State	Published - 2021
Event	5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil Duration: 22 Oct 2019 → 24 Oct 2019

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	202
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	5th Brazilian Technology Symposium, BTSym 2019
Country/Territory	Brazil
City	Campinas
Period	22/10/19 → 24/10/19

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Primary prevention
Type 2 diabetes mellitus
Wearable

Access to Document

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

Cite this

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. In 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).

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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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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. in 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, Brazil, 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).

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

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

AN - SCOPUS:85098159469

SN - 9783030575656

T3 - Smart Innovation, Systems and Technologies

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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. In Iano Y, Arthur R, Saotome O, Kemper G, Borges Monteiro AC, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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