Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Joint Authors
Ruz, Gonzalo A.
Araya-Díaz, Pamela
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
We apply Bayesian network classifiers to the facial biotype classification problem, an important stage during orthodontic treatment planning.
For this, we present adaptations of classical Bayesian networks classifiers to handle continuous attributes; also, we propose an incremental tree construction procedure for tree like Bayesian network classifiers.
We evaluate the performance of the proposed adaptations and compare them with other continuous Bayesian network classifiers approaches as well as support vector machines.
The results under the classification performance measures, accuracy and kappa, showed the effectiveness of the continuous Bayesian network classifiers, especially for the case when a reduced number of attributes were used.
Additionally, the resulting networks allowed visualizing the probability relations amongst the attributes under this classification problem, a useful tool for decision-making for orthodontists.
American Psychological Association (APA)
Ruz, Gonzalo A.& Araya-Díaz, Pamela. 2018. Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133963
Modern Language Association (MLA)
Ruz, Gonzalo A.& Araya-Díaz, Pamela. Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1133963
American Medical Association (AMA)
Ruz, Gonzalo A.& Araya-Díaz, Pamela. Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1133963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133963