[Retracted] A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques

R Krishnamoorthi, S Joshi… - Journal of healthcare …, 2022 - Wiley Online Library
Diabetes is a chronic disease that continues to be a significant and global concern since it
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …

Machine learning and deep learning predictive models for type 2 diabetes: a systematic review

L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

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 …

An ensemble approach to predict early-stage diabetes risk using machine learning: An empirical study

UE Laila, K Mahboob, AW Khan, F Khan, W Taekeun - Sensors, 2022 - mdpi.com
Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and
can affect various organs if left untreated. It contributes to heart disease, kidney issues …

Prevalence and early prediction of diabetes using machine learning in North Kashmir: a case study of district bandipora

SS Bhat, V Selvam, GA Ansari… - Computational …, 2022 - Wiley Online Library
Diabetes is one of the biggest health problems that affect millions of people across the
world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage …

[HTML][HTML] Machine learning based diabetes prediction and development of smart web application

N Ahmed, R Ahammed, MM Islam, MA Uddin… - International Journal of …, 2021 - Elsevier
Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the
risk of long-term complications including heart disease, and kidney failure among others …

[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques

RG Nadakinamani, A Reyana, S Kautish… - Computational …, 2022 - Wiley Online Library
Cardiovascular disease is difficult to detect due to several risk factors, including high blood
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …

Early prediction of diabetes using an ensemble of machine learning models

A Dutta, MK Hasan, M Ahmad, MA Awal… - International Journal of …, 2022 - mdpi.com
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of
significant complications, including cardiovascular disease, kidney failure, diabetic …

A novel method for diabetes classification and prediction with Pycaret

P Whig, K Gupta, N Jiwani, H Jupalle, S Kouser… - Microsystem …, 2023 - Springer
The incredible advances in biotechnology and public healthcare infrastructures have
resulted in a massive output of vital and sensitive healthcare data. Many fascinating trends …

A fusion-based machine learning approach for the prediction of the onset of diabetes

MW Nadeem, HG Goh, V Ponnusamy, I Andonovic… - Healthcare, 2021 - mdpi.com
A growing portfolio of research has been reported on the use of machine learning-based
architectures and models in the domain of healthcare. The development of data-driven …