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ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image
Joint Authors
Liao, Shizhong
Cui, Yan
Wang, Hongwu
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Objective.
To select significant Haar-like features extracted from tongue images for health identification.
Materials and Methods.
1,322 tongue cases were included in this study.
Health information and tongue images of each case were collected.
Cases were classified into the following groups: group containing 148 cases diagnosed as health; group containing 332 cases diagnosed as ill based on health information, even though tongue image is normal; and group containing 842 cases diagnosed as ill.
Haar-like features were extracted from tongue images.
Then, we proposed a new boosting method in the ROC space for selecting significant features from the features extracted from these images.
Results.
A total of 27 features were obtained from groups A, B, and C.
Seven features were selected from groups A and B, while 25 features were selected from groups A and C.
Conclusions.
The selected features in this study were mainly obtained from the root, top, and side areas of the tongue.
This is consistent with the tongue partitions employed in traditional Chinese medicine.
These results provide scientific evidence to TCM tongue diagnosis for health identification.
American Psychological Association (APA)
Cui, Yan& Liao, Shizhong& Wang, Hongwu. 2015. ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057876
Modern Language Association (MLA)
Cui, Yan…[et al.]. ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057876
American Medical Association (AMA)
Cui, Yan& Liao, Shizhong& Wang, Hongwu. ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057876