Control of Type 1 and 2 Diabetes in Middle-Aged Individuals at Private Clinics in Metropolitan Lima: A Technological Solution Based on Wearables and IoT
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48858-0_19
Reference28 articles.
1. Centro Nacional para la Prevención de Enfermedades Crónicas y Promoción de la Salud. (2022). Centros para el Control y la Prevención de Enfermedades. Available at: https://www.cdc.gov/diabetes/spanish/basics/diabetes.html. Accessed 20 Aug 2023
2. MINSA. (2021). Epidemiologia de la diabetes en el Perú. Available at: https://www.dge.gob.pe/portalnuevo/wp-content/uploads/2022/01/Unidad-I-Tema-1-Epidemiologia-de-la-diabetes_pub.pdf. Accessed 20 Aug 2023
3. Alarcón-Paredes, A., et al.: An IoT-Based Non-Invasive Glucose Level Monitoring System Using Raspberry Pi. Appl. Sci. 9, 3046 (2019). https://doi.org/10.3390/app9153046
4. Nguyen, T., et al.: Energy efficient fog-assisted IoT system for monitoring diabetic patients with cardiovascular disease. Future Gener. Comput. Syst. 93, 198–211 (2019). https://doi.org/10.1016/j.future.2018.10.029)
5. Zhu, T., et al.: Enhancing self-management in type 1 diabetes with wearables and deep learning. Digital Med. 78 (2022). https://doi.org/10.1038/s41746-022-00626-5
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