Deep learning for diabetes: a systematic review
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
[HTML][HTML] A review of non-invasive optical systems for continuous blood glucose monitoring
The prevalence of diabetes is increasing globally. More than 690 million cases of diabetes
are expected worldwide by 2045. Continuous blood glucose monitoring is essential to …
are expected worldwide by 2045. Continuous blood glucose monitoring is essential to …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Multi-disease prediction based on deep learning: a survey
S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …
AI's research in the medical field have allowed people to see the excellent prospects of the …
Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients
G Yang, S Liu, Y Li, L He - Biomedical Signal Processing and Control, 2023 - Elsevier
The hyperglycemic state of people with diabetes can lead to metabolic and healthy
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
disturbances in the body. Diabetes is mainly treated clinically by conservative treatment …
[HTML][HTML] Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
[HTML][HTML] Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients
Accurate prediction of blood glucose variations in type 2 diabetes (T2D) will facilitate better
glycemic control and decrease the occurrence of hypoglycemic episodes as well as the …
glycemic control and decrease the occurrence of hypoglycemic episodes as well as the …
Water quality prediction for smart aquaculture using hybrid deep learning models
KPRA Haq, VP Harigovindan - Ieee Access, 2022 - ieeexplore.ieee.org
Water quality prediction (WQP) plays an essential role in water quality management for
aquaculture to make aquaculture production profitable and sustainable. In this work, we …
aquaculture to make aquaculture production profitable and sustainable. In this work, we …
IoMT-enabled real-time blood glucose prediction with deep learning and edge computing
Blood glucose (BG) prediction is essential to the success of glycemic control in type 1
diabetes (T1D) management. Empowered by the recent development of the Internet of …
diabetes (T1D) management. Empowered by the recent development of the Internet of …
[HTML][HTML] Enhancing self-management in type 1 diabetes with wearables and deep learning
People living with type 1 diabetes (T1D) require lifelong self-management to maintain
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …
glucose levels in a safe range. Failure to do so can lead to adverse glycemic events with …