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: | , , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/40525c3eeba84391bd4e55c82379d377 |
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