BioSpace

Machine Learning Model Accurately Predicts Long-Term Risk of Type 2 Diabetes

Study of Over Three Million Patients for Risk of Type 2 Diabetes Demonstrates Potential for More Advanced Approach to Early Identification NEW ORLEANS, June 5, 2026 /PRNewswire/ -- A novel electronic ...
Scientific Research Publishing

Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C. and Johannes, R.S. (1988) Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Scientific Research Publishing

UCI Machine Learning (2016) Pima Indians Diabetes Database.

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...
Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
Frontiers

Machine learning-based online prediction of nocturnal hypoglycemia in elderly patients with type 2 diabetes

Nocturnal hypoglycemia (NH) is a common adverse event in elderly patients with type 2 diabetes (T2D). This study aims to develop a clinically applicable model for predicting the risk of NH in elderly ...
IEEE

Ensemble Machine Learning Methods for Diabetes Prediction using Class Imbalance Technique

Worldwide, millions of people are impacted by diabetes mellitus [1], a chronic metabolic illness. The inability of the body to create or effectively use insulin causes blood glucose levels to rise, ...
IEEE

Diabetes Prediction Using Machine Learning Methods and Performance Analysis

Abstract: This study evaluated three machine learning algorithms in predicting a diabetes mellitus diagnosis using a publicly available health data set. The models developed and analyzed in this study ...