Predicting the onset of diabetes with machine learning methods

CY Chou, DY Hsu, CH Chou - Journal of Personalized Medicine, 2023 - mdpi.com
The number of people suffering from diabetes in Taiwan has continued to rise in recent
years. According to the statistics of the International Diabetes Federation, about 537 million …

Optimal scheduling of demand side load management of smart grid considering energy efficiency

S Balouch, M Abrar, H Abdul Muqeet… - Frontiers in Energy …, 2022 - frontiersin.org
The purpose of this research is to provide power grid energy efficiency solutions. In this
paper, a comprehensive review and its optimal solution is proposed considering the various …

[HTML][HTML] A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: pre-diabetes, T1DM, and T2DM

M Gollapalli, A Alansari, H Alkhorasani… - Computers in Biology …, 2022 - Elsevier
Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …

Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction

J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …

KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features

H Qi, X Song, S Liu, Y Zhang, KKL Wong - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Diabetes is a disease that requires early detection and
early treatment, and complications are likely to occur in late stages of the disease …

HealthEdge: a machine learning-based smart healthcare framework for prediction of type 2 diabetes in an integrated IoT, edge, and cloud computing system

A Hennebelle, H Materwala, L Ismail - Procedia Computer Science, 2023 - Elsevier
Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death
globally. The alarming increase in diabetes calls for the need to take precautionary …

A systematic survey on fog and iot driven healthcare: Open challenges and research issues

V Kashyap, A Kumar, A Kumar, YC Hu - Electronics, 2022 - mdpi.com
Technological advancements have made it possible to monitor, diagnose, and treat patients
remotely. The vital signs of patients can now be collected with the help of Internet of Things …

[HTML][HTML] A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms

SS Bhat, M Banu, GA Ansari, V Selvam - Healthcare Analytics, 2023 - Elsevier
Diabetes disease seriously threatens people's health and is becoming more common
nowadays. Diabetes Mellitus (DM) is a condition caused by high blood sugar levels …

Early prediction of gestational diabetes with parameter-tuned K-Nearest Neighbor Classifier

TA Assegie, T Suresh, R Purushothaman… - Journal of Robotics …, 2023 - journal.umy.ac.id
Diabetes is one of the quickly spreading chronic diseases causing health complications,
such as diabetes retinopathy, kidney failure, and cardiovascular disease. Recently, machine …

[HTML][HTML] Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring …

A Hennebelle, L Ismail, H Materwala, J Al Kaabi… - Computational and …, 2024 - Elsevier
Diabetes Mellitus, one of the leading causes of death worldwide, has no cure to date and
can lead to severe health complications, such as retinopathy, limb amputation …