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

Financial Time Series Forecasting Analysis Based on Gradient Boosting Decision Tree Modeling

Abstract: The aim of this study is to investigate the application of Gradient Boosted Decision Tree (GBDT) model in time series forecasting in financial markets and its effectiveness. The complexity ...
IEEE

HRRP Target Recognition Based on Modified Gradient Boosting Decision Tree

Abstract: Focused on radar automatic target recognition in open set environment, Extreme Value Theory (EVT) is introduced to modify Gradient Boosted Decision Trees (GBDT). We mark the method as Open ...