The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease
Joint Authors
Ayatollahi, Seyyed Mohammad Taghi
Birjandi, Mehdi
Pourahmad, Saeedeh
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Birjandi, Mehdi& Ayatollahi, Seyyed Mohammad Taghi& Pourahmad, Saeedeh. 2016. The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100123
Modern Language Association (MLA)
Birjandi, Mehdi…[et al.]. The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100123
American Medical Association (AMA)
Birjandi, Mehdi& Ayatollahi, Seyyed Mohammad Taghi& Pourahmad, Saeedeh. The Reliability of Classification of Terminal Nodes in GUIDE Decision Tree to Predict the Nonalcoholic Fatty Liver Disease. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100123