Prevalence and early prediction of diabetes using machine learning in North Kashmir: a case study of district bandipora
SS Bhat, V Selvam, GA Ansari… - Computational …, 2022 - Wiley Online Library
Diabetes is one of the biggest health problems that affect millions of people across the
world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage …
world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage …
Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
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 …
AAL and internet of medical things for monitoring type-2 diabetic patients
Due to an aging population, assisted-care options are required so that senior citizens may
maintain their independence at home for a longer time and rely less on caretakers. Ambient …
maintain their independence at home for a longer time and rely less on caretakers. Ambient …
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
MK Bohmrah, H Kaur - Artificial Intelligence Review, 2025 - Springer
Due to the high classification accuracy and fast computational speed offered by Deep
Neural Networks (DNNs), they have been widely used for the design and development of …
Neural Networks (DNNs), they have been widely used for the design and development of …
A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare
Artificial intelligence (AI) applications based on deep learning for diagnosing type-II diabetes
are sometimes difficult to understand and communicate even as patients are eager to …
are sometimes difficult to understand and communicate even as patients are eager to …
E-recruitment using artificial intelligence as preventive measures
A Gusain, T Singh, S Pandey… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Organization is starting to incorporate AI capabilities into their hiring procedures and further
enhances the likelihood of applications. These favorable associations between views …
enhances the likelihood of applications. These favorable associations between views …
Explainable deep learning for diabetes diagnosis with DeepNetX2
Diabetes is a leading health global health challenge because of its high blood sugar levels
and the risk of extensive damage to other internal organs. Early and accurate identification …
and the risk of extensive damage to other internal organs. Early and accurate identification …
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
K Alnowaiser - IEEE Access, 2024 - ieeexplore.ieee.org
Objective: Diabetes ranks as the most prevalent ailment in develo** nations. Vital steps to
mitigate the consequences of diabetes include early detection and expert medical …
mitigate the consequences of diabetes include early detection and expert medical …
Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier
Non-communicable disease, especially chronic disease, is the most common factor of
complication of deteriorating physical health and the state of one's mind. It is also a …
complication of deteriorating physical health and the state of one's mind. It is also a …