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The XGBoost model exhibited optimal performance in the training ... ROC curve analysis of five machine learning algorithms in the training dataset for predicting the long-term prognosis of HICH ...

This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML ... The following figure shows the communication sequence diagram between the tool and the device ...

Machine learning models, including XGBoost, Random Forest, Support Vector Machine, and k-Nearest Neighbors, were trained for ED risk prediction. Key predictors included advanced age, smoking history, ...

Impact Statement: Integrating quantum computing and machine learning techniques into brain-computer interface ... The promising results obtained from applying the proposed quantum algorithm, which ...