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 …
A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings
Diabetes and cancer are two major life-threatening human chronic disorders that have a
high rate of disability and mortality. These diseases have been diagnosed using different …
high rate of disability and mortality. These diseases have been diagnosed using different …
Investigations on brain tumor classification using hybrid machine learning algorithms
The imaging modalities are used to view other organs and analyze different tissues in the
body. In such imaging modalities, a new and developing imaging technique is hyperspectral …
body. In such imaging modalities, a new and developing imaging technique is hyperspectral …
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 …
Diabetes Prediction Using Enhanced SVM and Deep Neural Network Learning Techniques: An Algorithmic Approach for Early Screening of Diabetes
P Nagaraj, P Deepalakshmi - International Journal of Healthcare …, 2021 - igi-global.com
Diabetes, caused by the rise in level of glucose in blood, has many latest devices to identify
from blood samples. Diabetes, when unnoticed, may bring many serious diseases like heart …
from blood samples. Diabetes, when unnoticed, may bring many serious diseases like heart …
A comparative review of prediction methods for pima indians diabetes dataset
PV Sankar Ganesh, P Sripriya - Computational Vision and Bio-Inspired …, 2020 - Springer
Diabetes Mellitus is generally considered to be a health issue that affects people and results
in different types of problems like heart problems, vision problems, leg amputation and …
in different types of problems like heart problems, vision problems, leg amputation and …
Classification of imbalanced data using SMOTE and autoencoder based deep convolutional neural network
SA Alex, JJV Nayahi - International Journal of Uncertainty …, 2023 - World Scientific
The imbalanced data classification is a challenging issue in many domains including
medical intelligent diagnosis and fraudulent transaction analysis. The performance of the …
medical intelligent diagnosis and fraudulent transaction analysis. The performance of the …
An intelligent diabetes classification and perception framework based on ensemble and deep learning method
Sugar in the blood can harm individuals and their vital organs, potentially leading to
blindness, renal illness, as well as kidney and heart diseases. Globally, diabetic patients …
blindness, renal illness, as well as kidney and heart diseases. Globally, diabetic patients …
A novel RFE-GRU model for diabetes classification using PIMA Indian dataset
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to
a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes …
a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes …
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 …