A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
CNN-RNN based intelligent recommendation for online medical pre-diagnosis support
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …
to conduct online medical consultation than ever before. Understanding contexts within …
Blended ensemble learning prediction model for strengthening diagnosis and treatment of chronic diabetes disease
Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses
characterized by persistently high blood sugar levels. The signs of elevated blood sugar …
characterized by persistently high blood sugar levels. The signs of elevated blood sugar …
Prediction of diabetes empowered with fused machine learning
In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one
of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are …
of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
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 …
DeepReco: deep learning based health recommender system using collaborative filtering
In today's digital world healthcare is one core area of the medical domain. A healthcare
system is required to analyze a large amount of patient data which helps to derive insights …
system is required to analyze a large amount of patient data which helps to derive insights …
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 …
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 …
A diabetes monitoring system and health-medical service composition model in cloud environment
Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …