The most marginally significant features with the highest area under the curve (AUC) were then selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
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Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study.
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