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Among the machine learning methods tested, the eXtreme Gradient Boosting (XGB) algorithm showed the best performance, achieving an accuracy of 92.9%, an area under the receiver operating characteristic curve (AUROC) of 0.835, and an area under the precision-recall curve (AUPRC) of 0.975

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The treatment protocol failed in three cases, and was sub-optimal (50-75% response) in another case

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