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 …

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review

E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

[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 …

Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta

X Wang, J Ren, H Ren, W Song, Y Qiao, Y Zhao… - Scientific Reports, 2023 - nature.com
Diabetes mellitus (DM) has become the third chronic non-infectious disease affecting
patients after tumor, cardiovascular and cerebrovascular diseases, becoming one of the …

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 …

Comparative analysis of predictive machine learning algorithms for diabetes mellitus

K Kangra, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Diabetes mellitus (DM) is a serious worldwide health issue, and its prevalence is rapidly
growing. It is a spectrum of metabolic illnesses defined by perpetually increased blood …

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 …

An efficient prediction system for diabetes disease based on deep neural network

T Beghriche, M Djerioui, Y Brik, B Attallah… - …, 2021 - Wiley Online Library
One of the main reasons for disability and premature mortality in the world is diabetes
disease, which can cause different sorts of damage to organs such as kidneys, eyes, and …

Cardiovascular health management in diabetic patients with machine-learning-driven predictions and interventions

R Jose, F Syed, A Thomas, M Toma - Applied Sciences, 2024 - mdpi.com
The advancement of machine learning in healthcare offers significant potential for
enhancing disease prediction and management. This study harnesses the PyCaret library …

A Comprehensive Survey on Diabetes Type-2 (T2D) Forecast Using Machine Learning

SM Nimmagadda, G Suryanarayana, GB Kumar… - … Methods in Engineering, 2024 - Springer
Diabetes type 2 remains a pressing worldwide health subject, highlighting the need for
advanced early detection methods. In this study, we performed a comprehensive analysis of …