Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods

HIGHLIGHTS

  • who: Shihui Shen from the Cleveland State University, United States have published the research: Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods, in the Journal: (JOURNAL)
  • what: The aim of this study is to compare the dental age prediction ability of Demirjian and Cameriere methods by ML algorithm the dental age prediction ability of 3 ML algorithms: decision tree (DT), Bayesian ridge regression (BRR), k-nearest neighbors (KNN) model. In this study, the mean error (ME) of dental age and chronological age was calculated to . . .

     

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