An Ensemble Multilabel Classification for Disease Risk Prediction
Joint Authors
Lin, Yusong
Li, Runzhi
Liu, Wei
Zhao, Hongling
Zhang, Chaoyang
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
It is important to identify and prevent disease risk as early as possible through regular physical examinations.
We formulate the disease risk prediction into a multilabel classification problem.
A novel Ensemble Label Power-set Pruned datasets Joint Decomposition (ELPPJD) method is proposed in this work.
First, we transform the multilabel classification into a multiclass classification.
Then, we propose the pruned datasets and joint decomposition methods to deal with the imbalance learning problem.
Two strategies size balanced (SB) and label similarity (LS) are designed to decompose the training dataset.
In the experiments, the dataset is from the real physical examination records.
We contrast the performance of the ELPPJD method with two different decomposition strategies.
Moreover, the comparison between ELPPJD and the classic multilabel classification methods RAkEL and HOMER is carried out.
The experimental results show that the ELPPJD method with label similarity strategy has outstanding performance.
American Psychological Association (APA)
Li, Runzhi& Liu, Wei& Lin, Yusong& Zhao, Hongling& Zhang, Chaoyang. 2017. An Ensemble Multilabel Classification for Disease Risk Prediction. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1181217
Modern Language Association (MLA)
Li, Runzhi…[et al.]. An Ensemble Multilabel Classification for Disease Risk Prediction. Journal of Healthcare Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1181217
American Medical Association (AMA)
Li, Runzhi& Liu, Wei& Lin, Yusong& Zhao, Hongling& Zhang, Chaoyang. An Ensemble Multilabel Classification for Disease Risk Prediction. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1181217
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181217