Artificial Neural Network Evaluation To Predict Postoperativ
A study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The team tested data from 300 patients who underwent RCT. Among these cases, 210, 45 and 45 were allocated as the training, data validation and test samples, respectively, to assess the accuracy of prediction. The accuracy of the BP neural network model was found to be 95.60% for the prediction of postoperative pain following RCT. It was concluded that this this model could effectively improve patients' trust in dentists and help dentists make suitable decisions.

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