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 ...
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 ...
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

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 ...
IEEE

Diabetes Prediction using Different Machine Learning Classifiers

Abstract: Diabetes mellitus is a prevalent global health concern, necessitating proactive approaches for early detection and intervention. This paper explores the application of diverse machine ...
IEEE

Performance Metrices Analysis for Diabetes Prediction Using Machine Learning Algorithm

Abstract: Diabetes is the among of the chronic diseases which is every year the number of deaths increases to the diabetes patients. Despite the different ages, diabetes can either be inherited ...