Using the XGBoost algorithm, we developed a classifier incorporating nine genes (ARHGAP9, CADM1, CPE, DUSP3, FGFR1, GALNT3, IGF2BP3, KIF26A, ZFP3). In our internal cohort, the classifier exhibited ...

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 ...

A novel ML algorithm (named ‘AutMedAI’) capable of early autism spectrum disorder (ASD) detection with minimal background and medical information.