The American Journal of Managed Care

Machine Learning–Based Predictors for RA Relapse Evaluated

Researchers found that the extreme gradient boosting (XGBoost) predictor could more accurately predict rheumatoid arthritis (RA) relapse than logistic regression and random forest. When evaluating ...
ascopubs.org

Development of a novel blood-based RNA gene expression platform for early-stage lung cancer diagnosis.

Phase Ib study of neoadjuvant concurrent chemoradiation plus durvalumab followed by surgery and adjuvant durvalumab for resectable stage III NSCLC. Results for miRNA-only XGBoost algorithm in held-out ...
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 ...
pv magazine International

Machine learning method to identify residential PV adopters, reduce soft costs

An international research team has utilized a machine learning algorithm known as XGBoost (eXtreme Gradient Boosting) to predict PV adoption among homeowners. This algorithm consists of a distributed ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...