
This study employs artificial intelligence, specifically a multilayer perceptron (MLP) model, to predict postoperative recurrence risk in 387 oral cancer patients. The comprehensive variable input MLP model demonstrates superior sensitivity compared to characteristic variable models. The findings highlight the efficacy of the MLP model in predicting postoperative recurrence and the importance of variable input selection.
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