Noninvasive Prototype for Type 2 Diabetes Detection

The present work demonstrates the design and implementation of a human-safe, portable, noninvasive device capable of predicting type 2 diabetes, using electrical bioimpedance and biometric features to train an artificial learning machine using an active learning algorithm based on population selecti...

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Autores principales:	Javier Ferney Castillo García, Jesús Hamilton Ortiz, Osamah Ibrahim Khalaf, Adrián David Valencia Hernández, Luis Carlos Rodríguez Timaná
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/40525c3eeba84391bd4e55c82379d377
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id	oai:doaj.org-article:40525c3eeba84391bd4e55c82379d377
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spelling	oai:doaj.org-article:40525c3eeba84391bd4e55c82379d3772021-11-22T01:09:36ZNoninvasive Prototype for Type 2 Diabetes Detection2040-230910.1155/2021/8077665https://doaj.org/article/40525c3eeba84391bd4e55c82379d3772021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8077665https://doaj.org/toc/2040-2309The present work demonstrates the design and implementation of a human-safe, portable, noninvasive device capable of predicting type 2 diabetes, using electrical bioimpedance and biometric features to train an artificial learning machine using an active learning algorithm based on population selection. In addition, there is an API with a graphical interface that allows the prediction and storage of data when the characteristics of the person are sent. The results obtained show an accuracy higher than 90% with statistical significance (p < 0.05). The Kappa coefficient values were higher than 0.9, showing that the device has a good predictive capacity which would allow the screening process of type 2 diabetes. This development contributes to preventive medicine and makes it possible to determine at a low cost, comfortably, without medical preparation, and in less than 2 minutes whether a person has type 2 diabetes.Javier Ferney Castillo GarcíaJesús Hamilton OrtizOsamah Ibrahim KhalafAdrián David Valencia HernándezLuis Carlos Rodríguez TimanáHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Javier Ferney Castillo García Jesús Hamilton Ortiz Osamah Ibrahim Khalaf Adrián David Valencia Hernández Luis Carlos Rodríguez Timaná Noninvasive Prototype for Type 2 Diabetes Detection
description	The present work demonstrates the design and implementation of a human-safe, portable, noninvasive device capable of predicting type 2 diabetes, using electrical bioimpedance and biometric features to train an artificial learning machine using an active learning algorithm based on population selection. In addition, there is an API with a graphical interface that allows the prediction and storage of data when the characteristics of the person are sent. The results obtained show an accuracy higher than 90% with statistical significance (p < 0.05). The Kappa coefficient values were higher than 0.9, showing that the device has a good predictive capacity which would allow the screening process of type 2 diabetes. This development contributes to preventive medicine and makes it possible to determine at a low cost, comfortably, without medical preparation, and in less than 2 minutes whether a person has type 2 diabetes.
format	article
author	Javier Ferney Castillo García Jesús Hamilton Ortiz Osamah Ibrahim Khalaf Adrián David Valencia Hernández Luis Carlos Rodríguez Timaná
author_facet	Javier Ferney Castillo García Jesús Hamilton Ortiz Osamah Ibrahim Khalaf Adrián David Valencia Hernández Luis Carlos Rodríguez Timaná
author_sort	Javier Ferney Castillo García
title	Noninvasive Prototype for Type 2 Diabetes Detection
title_short	Noninvasive Prototype for Type 2 Diabetes Detection
title_full	Noninvasive Prototype for Type 2 Diabetes Detection
title_fullStr	Noninvasive Prototype for Type 2 Diabetes Detection
title_full_unstemmed	Noninvasive Prototype for Type 2 Diabetes Detection
title_sort	noninvasive prototype for type 2 diabetes detection
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/40525c3eeba84391bd4e55c82379d377
work_keys_str_mv	AT javierferneycastillogarcia noninvasiveprototypefortype2diabetesdetection AT jesushamiltonortiz noninvasiveprototypefortype2diabetesdetection AT osamahibrahimkhalaf noninvasiveprototypefortype2diabetesdetection AT adriandavidvalenciahernandez noninvasiveprototypefortype2diabetesdetection AT luiscarlosrodrigueztimana noninvasiveprototypefortype2diabetesdetection
_version_	1718418394738327552

Noninvasive Prototype for Type 2 Diabetes Detection

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