Diabetes prediction model based on an enhanced deep neural network
H Zhou, R Myrzashova, R Zheng - EURASIP Journal on Wireless …, 2020 - Springer
Today, diabetes is one of the most common, chronic, and, due to some complications,
deadliest diseases in the world. The early detection of diabetes is very important for its timely …
deadliest diseases in the world. The early detection of diabetes is very important for its timely …
[PDF][PDF] Diabetes prediction: a deep learning approach
Nowadays, Diabetes is one of the most common and severe diseases in Bangladesh as well
as all over the world. It is not only harmful to the blood but also causes different kinds of …
as all over the world. It is not only harmful to the blood but also causes different kinds of …
[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 …
A decision support system for diabetes prediction using machine learning and deep learning techniques
With the continuing increase in the number of the deadly diseases that threaten both human
health and life, medical Decision Support Systems (DSS) continue to prove their …
health and life, medical Decision Support Systems (DSS) continue to prove their …
An efficient prediction system for diabetes disease based on deep neural network
One of the main reasons for disability and premature mortality in the world is diabetes
disease, which can cause different sorts of damage to organs such as kidneys, eyes, and …
disease, which can cause different sorts of damage to organs such as kidneys, eyes, and …
Deep learning approach for diabetes prediction using PIMA Indian dataset
Abstract Purpose International Diabetes Federation (IDF) stated that 382 million people are
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
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 …
Reduction of overfitting in diabetes prediction using deep learning neural network
Accurate prediction of diabetes is an important issue in health prognostics. However, data
overfitting degrades the prediction accuracy in diabetes prognosis. In this paper, a reliable …
overfitting degrades the prediction accuracy in diabetes prognosis. In this paper, a reliable …
Current techniques for diabetes prediction: review and case study
S Larabi-Marie-Sainte, L Aburahmah, R Almohaini… - Applied Sciences, 2019 - mdpi.com
Diabetes is one of the most common diseases worldwide. Many Machine Learning (ML)
techniques have been utilized in predicting diabetes in the last couple of years. The …
techniques have been utilized in predicting diabetes in the last couple of years. The …
Machine learning based unified framework for diabetes prediction
SMH Mahmud, MA Hossin, MR Ahmed… - Proceedings of the …, 2018 - dl.acm.org
Machine learning gained a significant position in healthcare services (HCS) due to its ability
to improve the disease prediction in HCS. Machine learning techniques and artificial …
to improve the disease prediction in HCS. Machine learning techniques and artificial …