The Lancet

From prediction to navigation for artificial intelligence in medicine

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...
The University of Alabama at Birmingham

Diabetes subtype app helps clinicians personalize treatment

UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

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 Random Forest ...
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, ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Scientific Research Publishing

Kavakiotis, I., Tsave, O., Salifoglou, A., Maglaveras, N., Vlahavas, I. and Chouvarda, I. (2017) Machine Learning and Data Mining Methods in Diabetes Research. Computational ...

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
IEEE

Diabetes Prediction Using Machine Learning

For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), decision ...
Frontiers

Early prediction of gestational diabetes mellitus using machine learning-integrated metabolomic and clinical features

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...