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The Comparative Experimental Study of Multilabel Classification for Diagnosis Assistant Based on Chinese Obstetric EMRs
Joint Authors
Zhuang, Lei
Zhang, Kunli
Ma, Hongchao
Zhao, Yueshu
Zan, Hongying
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Obstetric electronic medical records (EMRs) contain massive amounts of medical data and health information.
The information extraction and diagnosis assistants of obstetric EMRs are of great significance in improving the fertility level of the population.
The admitting diagnosis in the first course record of the EMR is reasoned from various sources, such as chief complaints, auxiliary examinations, and physical examinations.
This paper treats the diagnosis assistant as a multilabel classification task based on the analyses of obstetric EMRs.
The latent Dirichlet allocation (LDA) topic and the word vector are used as features and the four multilabel classification methods, BP-MLL (backpropagation multilabel learning), RAkEL (RAndom k labELsets), MLkNN (multilabel k-nearest neighbor), and CC (chain classifier), are utilized to build the diagnosis assistant models.
Experimental results conducted on real cases show that the BP-MLL achieves the best performance with an average precision up to 0.7413 ± 0.0100 when the number of label sets and the word dimensions are 71 and 100, respectively.
The result of the diagnosis assistant can be introduced as a supplementary learning method for medical students.
Additionally, the method can be used not only for obstetric EMRs but also for other medical records.
American Psychological Association (APA)
Zhang, Kunli& Ma, Hongchao& Zhao, Yueshu& Zan, Hongying& Zhuang, Lei. 2018. The Comparative Experimental Study of Multilabel Classification for Diagnosis Assistant Based on Chinese Obstetric EMRs. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1187603
Modern Language Association (MLA)
Zhang, Kunli…[et al.]. The Comparative Experimental Study of Multilabel Classification for Diagnosis Assistant Based on Chinese Obstetric EMRs. Journal of Healthcare Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1187603
American Medical Association (AMA)
Zhang, Kunli& Ma, Hongchao& Zhao, Yueshu& Zan, Hongying& Zhuang, Lei. The Comparative Experimental Study of Multilabel Classification for Diagnosis Assistant Based on Chinese Obstetric EMRs. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1187603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187603