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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Bibliographic Details
Main Authors: Javier Ferney Castillo García, Jesús Hamilton Ortiz, Osamah Ibrahim Khalaf, Adrián David Valencia Hernández, Luis Carlos Rodríguez Timaná
Format: article
Language:EN
Published: Hindawi Limited 2021
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Online Access:https://doaj.org/article/40525c3eeba84391bd4e55c82379d377
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