title: The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease.
abstract: Tree structured modeling is a data mining technique used to recursively partition a dataset into relatively homogeneous subgroups in order to make more accurate predictions on generated classes. One of the classification tree induction algorithms, GUIDE, is a nonparametric method with suitable accuracy and low bias selection, which is used for predicting binary classes based on many predictors. In this tree, evaluating the accuracy of predicted classes (terminal nodes) is clinically of special importance. For this purpose, we used GUIDE classification tree in two statuses of equal and unequal misclassification cost in order to predict nonalcoholic fatty liver disease (NAFLD), considering 30 predictors. Then, to evaluate the accuracy of predicted classes by using bootstrap method, first the classification reliability in which individuals are assigned to a unique class and next the prediction probability reliability as support for that are considered.
authors.affiliation: Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
authors.forename: Mehdi
authors.identifier: 0000-0002-0737-8044
authors.initials: M
authors.lastname: Birjandi
authors.affiliation: Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
authors.forename: Seyyed Mohammad Taghi
authors.identifier: 0000-0003-0198-5975
authors.initials: SM
authors.lastname: Ayatollahi
authors.affiliation: Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
authors.forename: Saeedeh
authors.initials: S
authors.lastname: Pourahmad
mesh_terms: D000465:Algorithms; D002138:Calibration; D019295:Computational Biology / Q000379:methods; D003430:Cross-Sectional Studies; D057225:Data Mining; D003661:Decision Support Techniques; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007492:Iran; D008099:Liver / Q000000981:diagnostic imaging; D016015:Logistic Models; D015233:Models, Statistical; D065626:Non-alcoholic Fatty Liver Disease / Q000000981:diagnostic imaging*; D011169:Portal Vein / Q000000981:diagnostic imaging; D011336:Probability; D015203:Reproducibility of Results; D014463:Ultrasonography