The study tested four machine learning algorithms to analyze the data: Gradient tree boosting, random forest, classification and regression trees, or CART, and support vector machine.

Gradient tree boosting (GTB), 28 random forests, 29 and support vector machine (SVM) 30 were trained on the training set and evaluated on the testing cohort by the area under the receiver operating ...

For the study, researchers investigated the application of two machine-learning algorithms: gradient tree boosting and LSTM-based deep learning.

Gradient tree boosting uses a small sample of features to measure similarities between potential answers and any given mention.