[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
Voting Classification‐Based Diabetes Mellitus Prediction Using Hypertuned Machine‐Learning Techniques
Diabetes mellitus is a hyperglycemia‐like chronic condition that is a troublesome disease. It
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
is estimated that, according to the growing morbidity, by 2040, the world will cross 642 …
Optimized convolution neural network based multiple eye disease detection
P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
World health organization (WHO) reports around 2.2 billion people in the world as visually
challenged which is mostly due to the age-related eye diseases such as age-related …
challenged which is mostly due to the age-related eye diseases such as age-related …
A survey on deep-learning-based diabetic retinopathy classification
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …
increasing recently. It affects people of all ages. People who have had diabetes for a long …
An approach to detecting diabetic retinopathy based on integrated shallow convolutional neural networks
W Chen, B Yang, J Li, J Wang - IEEE Access, 2020 - ieeexplore.ieee.org
The early detection of Diabetic Retinopathy (DR) is critical for diabetics to lower the
blindness risks. Many studies represent that Deep Convolutional Neural Network (CNN) …
blindness risks. Many studies represent that Deep Convolutional Neural Network (CNN) …
Transfer learning based robust automatic detection system for diabetic retinopathy grading
Diabetic retinopathy (DR) can be categorized on the basis of prolonged complication in the
retinal blood vessels which may lead to severe blindness. Early stage prediction and …
retinal blood vessels which may lead to severe blindness. Early stage prediction and …
Neurological Disorder Detection Using OCT Scan Image of Eye
Extracting useful features from medical images (in Radiology) helps to improve the early
precautions and treatment as well as reducing the risk of performing major surgeries. There …
precautions and treatment as well as reducing the risk of performing major surgeries. There …
DR-IIXRN: detection algorithm of diabetic retinopathy based on deep ensemble learning and attention mechanism
Z Ai, X Huang, Y Fan, J Feng, F Zeng… - Frontiers in …, 2021 - frontiersin.org
Diabetic retinopathy (DR) is one of the common chronic complications of diabetes and the
most common blinding eye disease. If not treated in time, it might lead to visual impairment …
most common blinding eye disease. If not treated in time, it might lead to visual impairment …
Transfer learning for diabetic retinopathy detection: a study of dataset combination and model performance
AM Mutawa, S Alnajdi, S Sruthi - Applied Sciences, 2023 - mdpi.com
Diabetes' serious complication, diabetic retinopathy (DR), which can potentially be life-
threatening, might result in vision loss in certain situations. Although it has no symptoms in …
threatening, might result in vision loss in certain situations. Although it has no symptoms in …