Optimized design of hybrid genetic algorithm with multilayer perceptron to predict patients with diabetes
OY Dweekat, SS Lam - Soft Computing, 2023 - Springer
Diabetes is a set of long-term metabolic issues characterized by high blood glucose levels
over a drawn-out time. It is a challenging and threatening disease because nearly half of …
over a drawn-out time. It is a challenging and threatening disease because nearly half of …
[PDF][PDF] GA_MLP NN: a hybrid intelligent system for diabetes disease diagnosis
DK Choubey, S Paul - International Journal of Intelligent Systems …, 2016 - mecs-press.net
Diabetes is a condition in which the amount of sugar in the blood is higher than normal.
Classification systems have been widely used in medical domain to explore patient's data …
Classification systems have been widely used in medical domain to explore patient's data …
A comparative performance analysis of machine learning approaches for the early prediction of diabetes disease
Diabetes is a chronic condition that affects a large number of people. Diabetes can be
predicted early on, which can lead to better treatment. One of the main causes of this …
predicted early on, which can lead to better treatment. One of the main causes of this …
Prediction of diabetes using various feature selection and machine learning paradigms
S Gill, P Pathwar - Modern Approaches in Machine Learning & Cognitive …, 2022 - Springer
Many health experts have identified diabetes as one of the most widespread diseases. Not
only the underdeveloped but also developed countries have a vast majority of their citizens …
only the underdeveloped but also developed countries have a vast majority of their citizens …
[PDF][PDF] A hybrid method of feature selection and neural network with genetic algorithm to predict diabetes
SMH Dadgar, M Kaardaan - Int. J. Mechatron. Electr. Comput. Technol …, 2017 - aeuso.org
Abstract iabetes is one of the most serious challenges of health care in developing and
developed countries. In the medical field, examination of the patient data using different …
developed countries. In the medical field, examination of the patient data using different …
[HTML][HTML] Artificial intelligence-based learning techniques for diabetes prediction: challenges and systematic review
S Kaul, Y Kumar - SN Computer Science, 2020 - Springer
Diabetes is one of the most deadly and chronic diseases which cause an increase in blood
sugar. If diabetes remains untreated and unidentified many difficulties may arise due to that …
sugar. If diabetes remains untreated and unidentified many difficulties may arise due to that …
Analytical model to predict diabetic patients using an optimized hybrid classifier
JK Shimpi, P Shanmugam, AA Stonier - Soft Computing, 2024 - Springer
Diabetes is the most common disease and is a major cause for blindness, kidney failure,
heart attacks, stroke and lower limb amputation. Thus, early prediction of diabetes is very …
heart attacks, stroke and lower limb amputation. Thus, early prediction of diabetes is very …
NSGA‐II‐XGB: Meta‐heuristic feature selection with XGBoost framework for diabetes prediction
Diabetes is one of the most prevalent causes of casualties in the modern world. Early
diagnosis of diabetes is the most promising way for increasing the chances of patients' …
diagnosis of diabetes is the most promising way for increasing the chances of patients' …
[HTML][HTML] EAGA-MLP—an enhanced and adaptive hybrid classification model for diabetes diagnosis
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent
times, medical data mining is gaining popularity in complex healthcare problems based …
times, medical data mining is gaining popularity in complex healthcare problems based …
A diabetic disease prediction model based on classification algorithms
Diabetes is one of the chronic diseases in the world, 246 million people are inflicted by this
disease and according to a World Health Organisation (WHO) report, this figure will increase …
disease and according to a World Health Organisation (WHO) report, this figure will increase …