A Novel Classification Method for Syndrome Differentiation of Patients with AIDS
Joint Authors
Jing, Xiang-Hong
Zhao, Yu-Feng
Wang, Jian
Xie, Qi
Liu, Baoyan
Zhang, Xiaoping
Zhang, Xiang
Luo, Lin
Li, Kun
He, Liyun
Li, Guo-zheng
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We consider the analysis of an AIDS dataset where each patient is characterized by a list of symptoms and is labeled with one or more TCM syndromes.
The task is to build a classifier that maps symptoms to TCM syndromes.
We use the minimum reference set-based multiple instance learning (MRS-MIL) method.
The method identifies a list of representative symptoms for each syndrome and builds a Gaussian mixture model based on them.
The models for all syndromes are then used for classification via Bayes rule.
By relying on a subset of key symptoms for classification, MRS-MIL can produce reliable and high quality classification rules even on datasets with small sample size.
On the AIDS dataset, it achieves average precision and recall 0.7736 and 0.7111, respectively.
Those are superior to results achieved by alternative methods.
American Psychological Association (APA)
Zhao, Yu-Feng& He, Liyun& Xie, Qi& Li, Guo-zheng& Liu, Baoyan& Wang, Jian…[et al.]. 2015. A Novel Classification Method for Syndrome Differentiation of Patients with AIDS. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1063820
Modern Language Association (MLA)
Zhao, Yu-Feng…[et al.]. A Novel Classification Method for Syndrome Differentiation of Patients with AIDS. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1063820
American Medical Association (AMA)
Zhao, Yu-Feng& He, Liyun& Xie, Qi& Li, Guo-zheng& Liu, Baoyan& Wang, Jian…[et al.]. A Novel Classification Method for Syndrome Differentiation of Patients with AIDS. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1063820
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1063820