IoMT innovations in diabetes management: Predictive models using wearable data

I Rodríguez-Rodríguez, M Campo-Valera… - Expert Systems with …, 2024 - Elsevier
Diabetes Mellitus (DM) represents a metabolic disorder characterized by consistently
elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM …

Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices

I Rodríguez-Rodríguez, M Campo-Valera… - Internet of Things, 2023 - Elsevier
The chronic metabolic condition, Type 1 diabetes mellitus (DM1), is marked by consistent
hyperglycemia due to the body's inability to produce sufficient insulin. This necessitates the …

[HTML][HTML] Development of a deep learning model for dynamic forecasting of blood glucose level for type 2 diabetes mellitus: secondary analysis of a randomized …

SHA Faruqui, Y Du, R Meka, A Alaeddini… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-
management of diabetes including maintaining a healthy lifestyle is essential for glycemic …

Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques

I Rodríguez-Rodríguez, I Chatzigiannakis… - Sensors, 2019 - mdpi.com
Machine learning techniques combined with wearable electronics can deliver accurate short-
term blood glucose level prediction models. These models can learn personalized glucose …

Early detection of prediabetes and T2DM using wearable sensors and internet-of-things-based monitoring applications

MM Baig, H GholamHosseini, J Gutierrez… - Applied Clinical …, 2021 - thieme-connect.com
Background Prediabetes and type 2 diabetes mellitus (T2DM) are one of the major long-
term health conditions affecting global healthcare delivery. One of the few effective …

[HTML][HTML] Type 1 diabetes hypoglycemia prediction algorithms: systematic review

S Tsichlaki, L Koumakis, M Tsiknakis - JMIR diabetes, 2022 - diabetes.jmir.org
Background: Diabetes is a chronic condition that necessitates regular monitoring and self-
management of the patient's blood glucose levels. People with type 1 diabetes (T1D) can …

Advanced diabetes management using artificial intelligence and continuous glucose monitoring sensors

M Vettoretti, G Cappon, A Facchinetti, G Sparacino - Sensors, 2020 - mdpi.com
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …

[HTML][HTML] The effectiveness of wearable devices using artificial intelligence for blood glucose level forecasting or prediction: Systematic review

A Ahmed, S Aziz, A Abd-Alrazaq, F Farooq… - Journal of Medical …, 2023 - jmir.org
Background In 2021 alone, diabetes mellitus, a metabolic disorder primarily characterized
by abnormally high blood glucose (BG) levels, affected 537 million people globally, and over …

A Comprehensive Survey on Diabetes Type-2 (T2D) Forecast Using Machine Learning

SM Nimmagadda, G Suryanarayana, GB Kumar… - … Methods in Engineering, 2024 - Springer
Diabetes type 2 remains a pressing worldwide health subject, highlighting the need for
advanced early detection methods. In this study, we performed a comprehensive analysis of …

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT

R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - ingentaconnect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …