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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Auteurs principaux: | Javier Ferney Castillo García, Jesús Hamilton Ortiz, Osamah Ibrahim Khalaf, Adrián David Valencia Hernández, Luis Carlos Rodríguez Timaná |
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Format: | article |
Langue: | EN |
Publié: |
Hindawi Limited
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/40525c3eeba84391bd4e55c82379d377 |
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