Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Scientific Research Publishing

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

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

Research on Intelligent Diagnosis and Visual Modeling Method of Centralized Photovoltaic Power Station Based on Intelligent Optimization and Gradient Boosted Decision Tree

Abstract: To address the issues of delayed fault detection, low diagnostic accuracy, and the lack of effective visualization tools in traditional operation and maintenance models, this study proposes ...
IEEE

Explainable Tuberculosis Detection from Chest X-Rays Using SHAP-Pruned CNN Features and Gradient-Boosted Classification

Abstract: Tuberculosis (TB) detection from chest radiographs requires models that balance predictive accuracy with transparent decision-making. This study introduces an explainable pipeline combining ...