Digital twins for multiple sclerosis
I Voigt, H Inojosa, A Dillenseger, R Haase… - Frontiers in …, 2021 - frontiersin.org
An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
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 …
Digital twin: Values, challenges and enablers from a modeling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
data and simulators for real-time prediction, optimization, monitoring, controlling, 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 …
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
[PDF][PDF] Survey on neural network architectures with deep learning
S Smys, JIZ Chen, S Shakya - Journal of Soft Computing Paradigm …, 2020 - academia.edu
In the present research era, machine learning is an important and unavoidable zone where
it provides better solutions to various domains. In particular deep learning is one of the cost …
it provides better solutions to various domains. In particular deep learning is one of the cost …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
Featured Application Diabetes is a common chronic disorder defined by excessive glucose
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
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 …
Digital twin: Values, challenges and enablers
A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
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 …