부산대학교 도서관

Artificial Intelligence and Machine learning techniques and methods in the dentistry has received the huge attention from time to time. It has gone through from being a Statistic tool to the Modern Medicine [32]. Periodontitis or Periodontal bone loss is the most frequent disease that affects the tissues that surrounds the teeth, it includes the gums and bone. It causes serious health issues if it left untreated. The main objective of this research is to check whether the person is diagnosed with periodontitis or not, using the SVM (Support Vector Machine) and RF (Random Forest) ML Algorithms. In this study we have extracted the verified panoramic dental radiographs of 116 patients examined by the dentists and use deep image features for each and every image using SVM and Random Forests Techniques. This dataset is used for the train the SVM and RF classification model, and then evaluating with the test from dataset, here, in this study we find random forest is the best classifier even with the tiny and unstable dataset. We get the final accuracy, recall, specificity, and negativity values as the 0.83,0.92,0.67,0.75,0.83. this has given the good performance compared to the svm classifier this has proved that estimation of periodontal bone loss can be used as the clinical suggesting device to diagnose the periodontitis using the radiographs.