Diabetes prediction using machine learning algorithms with feature selection and dimensionality reduction

S Sivaranjani, S Ananya, J Aravinth… - 2021 7th international …, 2021 - ieeexplore.ieee.org
In today's world diabetes has become one of the most life threatening and at the same time
most common diseases not only in India but around the world. Diabetes is seen in all age …

Machine and deep learning techniques for the prediction of diabetics: a review

SKS Modak, VK Jha - Multimedia Tools and Applications, 2024 - Springer
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 …

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 …

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed

Z Shaukat, W Zafar, W Ahmad, IU Haq, G Husnain… - Healthcare, 2023 - mdpi.com
The intricate and multifaceted nature of diabetes disrupts the body's crucial glucose
processing mechanism, which serves as a fundamental energy source for the cells. This …

An improved deep learning algorithm for diabetes prediction

B Mallikarjuna, S Addanke, DJ Anusha - Handbook of Research on …, 2022 - igi-global.com
This chapter introduces the novel approach in deep learning for diabetes prediction. The
related work described the various ML algorithms in the field of diabetic prediction that has …

Diabetes disease prediction using firefly optimization-based cat-boost classifier in big data analytics

G Geo Jenefer, AJ Deepa - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Abstract Globally, diabetes directly causes 1.5 million fatalities each year. It is necessary to
predict such diseases at an earlier stage and cure them. Since modern healthcare data …

Diabetes Mellitus Diagnosis based on Tongue Images using Machine Learning

R Bharani, KT Manishaa… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Diabetes is a condition that impairs the body's ability to generate the hormone insulin,
altering carbohydrate metabolism and raising blood glucose levels. Diabetes is defined by …

Forecasting Diabetes: Leveraging ML for Early Detection and Prevention

D Shah, A Vora, D Joshi, D Swain… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Diabetes is one of the increasing chronic diseases that must be treated well as soon as it is
detected. In today's world, diabetes is the most occurring disease. Diabetes is mainly of two …

Anonymization of Sensitive Data in the Diabetes Prediction using Private Bayesian Networks

T Sethukarasi, PR Therasa… - … on Image Processing …, 2024 - ieeexplore.ieee.org
In the modern era of automated learning and computational intelligence, early disease
detection is critical for assisting practitioners in disease diagnosis and decision-making …

AI-Powered Diabetes Management: Reliable Insulin Dosing through Machine Learning

GJ Lakshmi, G Kalyani… - 2024 5th International …, 2024 - ieeexplore.ieee.org
This project focuses on creating a smart system utilizing machine learning for diabetes
prediction and precise insulin dosage recommendations. By looking at various factors such …