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 …

An enhanced diabetes prediction amidst COVID-19 using ensemble models

D Thakur, T Gera, V Bhardwaj, AA AlZubi… - Frontiers in Public …, 2023 - frontiersin.org
In the contemporary landscape of healthcare, the early and accurate prediction of diabetes
has garnered paramount importance, especially in the wake of the COVID-19 pandemic …

A Novel Deep Learning Integrated Optimization based Diabetes Detection (DeO-DiDet) System using IoT

MS MuthuKumar, M Jayakumar - Educational Administration: Theory and …, 2024 - kuey.net
One of the most fatal and chronic diseases that raises blood sugar is diabetes. Diabetes can
cause a lot of problems if it is not properly diagnosed and treated. The difficult task is figuring …

Dynamic Hand Gesture Recognition

SCB Jaganathan, R Kesavan… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Gestures were most likely utilised by our ancestors to communicate. Armstrong once stated
that he believes movements using the hands were the earliest form of complex human …

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

S Elsayed, MM Ismail, AF Abdel-Gawad… - Information Sciences …, 2024 - sciencesforce.com
This paper aims to analyze and evaluate the performance of different classification
algorithms on medical datasets and gives some tips and guidelines for choosing the right …

An Optimized Deep Learning-based framework for predicting diabetes mellitus using FFNN

NS ElMongy, SM Elghamrawy… - Mansoura …, 2023 - mej.researchcommons.org
Diabetes mellitus (DM) is a major public health problem in Egypt, and the illness is regarded
as a contemporary epidemic across the world. Diabetes is becoming more common, which …