IEEE

A Comparative Analysis of Machine Learning Algorithms for Diabetes Prediction Using Numerical-to-Image Data Transformation

Abstract: Diabetes is a global health issue that requiring early detection to prevent life-threatening complications. This study compares several machine learning models for predicting diabetes using ...
Frontiers

Machine learning-based mortality prediction models for emergency department patients: a comparative analysis

Background: Accurate mortality prediction in emergency departments (ED) is crucial for timely intervention and resource allocation. This study developed and compared multiple machine learning models ...
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 ...
Frontiers

Multi-feature integrated machine learning prediction model for early nephropathy in elderly living with type 2 diabetes mellitus

Aims: To develop and validate a multi-feature machine learning (ML) model for early diabetic nephropathy (DN) prediction in elderly living with type 2 diabetes mellitus (T2DM), incorporating clinical ...