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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Detalles Bibliográficos
Autores principales: Castillo García, Javier Ferney, Ortiz, Jesús Hamilton, Ibrahim Khalaf, Osamah, Valencia Hernández, Adrián David, Rodríguez Timaná, Luis Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594986/
https://www.ncbi.nlm.nih.gov/pubmed/34795886
http://dx.doi.org/10.1155/2021/8077665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594986/
https://www.ncbi.nlm.nih.gov/pubmed/34795886
http://dx.doi.org/10.1155/2021/8077665

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