Noninvasive Prototype for Type 2 Diabetes Detection
| dc.contributor.author | Castillo García, Javier Ferney | |
| dc.contributor.author | Ortiz, Jesús Hamilton | |
| dc.contributor.author | Ibrahim Khalaf, Osamah | |
| dc.contributor.author | Valencia Hernández, Adrián David | |
| dc.contributor.author | Rodríguez Timaná, Luis Carlos | |
| dc.date.accessioned | 2025-07-17T19:43:43Z | |
| dc.date.available | 2025-07-17T19:43:43Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | 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. | |
| dc.identifier.citation | Castillo García, J. F., Ortiz, J. H., Ibrahim Khalaf, O., Valencia Hernández, A. D., & Rodríguez Timaná, L. C. (2021). Noninvasive Prototype for Type 2 Diabetes Detection. Journal of Healthcare Engineering, 2021. https://doi.org/10.1155/2021/8077665 Ramírez-Castrillón, M., Jaramillo-Garcia, V. P., Lopes Barros, H., Pegas Henriques, J. A., Stefani, V., & Valente, P. (2021). Nile Red Incubation Time Before Reading Fluorescence Greatly Influences the Yeast Neutral Lipids Quantification. Frontiers in Microbiology, 12. https://doi.org/10.3389/FMICB.2021.619313 | |
| dc.identifier.issn | 20402295 | |
| dc.identifier.uri | https://repositorio.usc.edu.co/handle/20.500.12421/7492 | |
| dc.language.iso | en | |
| dc.subject | Algorithms | |
| dc.subject | Diabetes Mellitus | |
| dc.subject | Type 2 | |
| dc.subject | Humans | |
| dc.subject | Machine Learning | |
| dc.title | Noninvasive Prototype for Type 2 Diabetes Detection | |
| dc.type | Article |