Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm
Diabetes mellitus is a disease commonly called Diabetes. Diabetes is among the most
frequent diseases globally. This disease affects internationally with different ailments and …
frequent diseases globally. This disease affects internationally with different ailments and …
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Background Diabetes, the fastest growing health emergency, has created several life-
threatening challenges to public health globally. It is a metabolic disorder and triggers many …
threatening challenges to public health globally. It is a metabolic disorder and triggers many …
RETRACTED ARTICLE: An automatic detection and classification of diabetes mellitus using CNN
RV Aswiga, M Karpagam, M Chandralekha… - Soft …, 2023 - search.proquest.com
In the recent years, most of the populations in the world are prone to diabetes mellitus
disease. Diabetes is considered as severe syndrome as it causes severe damage to major …
disease. Diabetes is considered as severe syndrome as it causes severe damage to major …
A novel stacking technique for prediction of diabetes
SK Kalagotla, SV Gangashetty, K Giridhar - Computers in Biology and …, 2021 - Elsevier
Abstract Background Machine Learning (ML) represents a rapidly growing technology that
supplies the most effective solutions for solving complex problems. The application of ML …
supplies the most effective solutions for solving complex problems. The application of ML …
A novel proposal for deep learning-based diabetes prediction: converting clinical data to image data
Diabetes, one of the most common diseases worldwide, has become an increasingly global
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
A new nearest neighbor-based framework for diabetes detection
Diabetes is one of the deadliest and costliest diseases. Today, automatic diabetes detection
systems are primarily developed using deep learning (DL) approaches, which give high …
systems are primarily developed using deep learning (DL) approaches, which give high …
[HTML][HTML] Type 2: diabetes mellitus prediction using deep neural networks classifier
RK Nadesh, K Arivuselvan - International Journal of Cognitive Computing …, 2020 - Elsevier
Diabetes is a severe disease, most of the people are not aware of the risk associated with
the disease because of that people die due to diabetic nephropathy, cardiac stroke and …
the disease because of that people die due to diabetic nephropathy, cardiac stroke and …
Deep learning techniques for prediction and diagnosis of diabetes mellitus
Diabetes Mellitus (DM) is a serious chronic disease that affects billions of people worldwide.
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
Impact of hidden dense layers in convolutional neural network to enhance performance of classification model
VLH Josephine, AP Nirmala… - IOP Conference Series …, 2021 - iopscience.iop.org
Education and Health care sectors are two predominant areas where societal growth is
expected through innovation and technology development. Machine Learning and Deep …
expected through innovation and technology development. Machine Learning and Deep …