AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

Machine learning techniques, such as those using XGBoost algorithms, have been effectively employed to detect and prevent technological fraud by recognizing patterns in large datasets and ...

Four model testing results revealed the XGBoost algorithm performing best (AUROC = 0.895). A tuned version of this model was then used for model prediction validation under the name ‘AutMedAI.’ ...

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 ...

Out of these four algorithms, they discovered that the XGBoost algorithm performed the best and named it AutMedAI. It could predict autism in children under the age of 24 months with roughly 80% ...

Their novel method is based on a single XGBoost algorithm, which is a decision-tree ensemble, open-access algorithm that uses a gradient-boosting framework.