BIOENGINEER

XGBoost Model Distinguishes Stroke Syndromes Using Clinical and Traditional Features

A retrospective study of 616 ischemic stroke patients demonstrated that an XGBoost machine-learning model achieved high ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
GitHub

Diamond Price Prediction

Machine learning project for diamond price prediction using XGBoost, regression model comparison, and a Python Tkinter interface. - bernayaman03/Diamond-Price-Prediction ...
GitHub

Real-Time Air Quality Prediction Using Machine Learning

Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...