Frontiers

XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy

Purpose: Thyroid ultrasound is a primary tool for screening thyroid nodules (TNs), but existing risk stratification systems have limitations. Nowadays, machine learning (ML) offers advanced ...
IEEE

Machine Learning-XGBoost Analysis of Fertility Intension

Abstract: This study is based on data from the World Values Survey (WVS 7) and employs the artificial intelligence algorithm model XGBoost to explore the roles of various factors influencing ...
IEEE

NN-XGBoost: Nearest-Neighbor eXtreme Gradient Boosting for Temporal Downscaling and Prediction

Abstract: Accurate forecasting of Downward Shortwave Radiation (DSWR) and other climate data is crucial for applications in renewable energy, agriculture, and environmental research. There are many ...