The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

For cervical cancer, the cost-sensitive Random Forest and XGBoost algorithms improved from high scores to perfect precision and recall.

For the study, "Comparing Machine Learning and Nurse Predictions for Hospital Admissions in a Multisite Emergency Care System," the researchers used the Bio-Clinical BERT LLM and the XGBoost algorithm ...