Optimizing diabetes classification with a machine learning-based framework

X Feng, Y Cai, R Xin - BMC bioinformatics, 2023 - Springer
Background Diabetes is a metabolic disorder usually caused by insufficient secretion of
insulin from the pancreas or insensitivity of cells to insulin, resulting in long-term elevated …

Diabetes classification techniques: a brief state-of-the-art literature review

JO Agushaka, AE Ezugwu - … Conference, ICAI 2020, Ota, Nigeria, October …, 2020 - Springer
Clinical data on diabetes patients are readily available in many countries and research
directories. These data are not necessarily in the same format or do not contain error-free or …

Machine learning based diabetes classification and prediction for healthcare applications

UM Butt, S Letchmunan, M Ali… - Journal of healthcare …, 2021 - Wiley Online Library
The remarkable advancements in biotechnology and public healthcare infrastructures have
led to a momentous production of critical and sensitive healthcare data. By applying …

Diabetes data classification using deep learning approach and feature selection based on genetic

J Abdollahi, B NouriMoghaddam, A MIRZAEI - 2023 - researchsquare.com
The area of deep learning research (DL) has seen significant growth in recent years and has
shown incredible promise for AI in medical applications. In this approach, we have proposed …

Oversample‐select‐tune: A machine learning pipeline for improving diabetes identification

SK Das, P Roy, AK Mishra - Concurrency and Computation …, 2022 - Wiley Online Library
Diabetes is one of the most common chronic disease causes severe life threatening
complications. Therefore, it is important to diagnose diabetes at early stage to avoid health …

[PDF][PDF] A deep learning approach to diabetes classification using attention-based neural network and generative adversarial network

S Wang, B Chen - Modern research: topical issues of theory and practice, 2023 - naukaip.ru
This paper presents a novel approach that combines a GAN (Generative Adversarial
Network) with an attention-based neural network for diabetes classification. Traditional …

An intelligent diabetes classification and perception framework based on ensemble and deep learning method

QW Khan, K Iqbal, R Ahmad, A Rizwan, AN Khan… - PeerJ Computer …, 2024 - peerj.com
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 …

IADP: An integrated approach for diabetes prediction using classification techniques

A Pati, M Parhi, BK Pattanayak - Advances in Distributed Computing and …, 2022 - Springer
Abstract Diagnosis and Prediction of Diabetes, a general chronic disease as well as a major
threat to public health, can lead to improved treatment at its early stage. Classification …

Diagnosis of diabetes using clinical features: an analysis based on machine learning techniques

F Fahim, A Al Farabi, MS Hasan… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Diabetes, the most frequent and ever-evolving disease, shortens the lives of many people of
all ages each year. The high incidence of this illness underscores the need of an early …

Diabetes prediction using ensembling of different machine learning classifiers

MK Hasan, MA Alam, D Das, E Hossain… - IEEE Access, 2020 - ieeexplore.ieee.org
Diabetes, also known as chronic illness, is a group of metabolic diseases due to a high level
of sugar in the blood over a long period. The risk factor and severity of diabetes can be …