Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining
Joint Authors
Xu, Xiao
Jin, Tao
Wei, Zhijie
Wang, Jianmin
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Clinical pathways are widely used around the world for providing quality medical treatment and controlling healthcare cost.
However, the expert-designed clinical pathways can hardly deal with the variances among hospitals and patients.
It calls for more dynamic and adaptive process, which is derived from various clinical data.
Topic-based clinical pathway mining is an effective approach to discover a concise process model.
Through this approach, the latent topics found by latent Dirichlet allocation (LDA) represent the clinical goals.
And process mining methods are used to extract the temporal relations between these topics.
However, the topic quality is usually not desirable due to the low performance of the LDA in clinical data.
In this paper, we incorporate topic assignment constraint and topic correlation limitation into the LDA to enhance the ability of discovering high-quality topics.
Two real-world datasets are used to evaluate the proposed method.
The results show that the topics discovered by our method are with higher coherence, informativeness, and coverage than the original LDA.
These quality topics are suitable to represent the clinical goals.
Also, we illustrate that our method is effective in generating a comprehensive topic-based clinical pathway model.
American Psychological Association (APA)
Xu, Xiao& Jin, Tao& Wei, Zhijie& Wang, Jianmin. 2017. Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1181033
Modern Language Association (MLA)
Xu, Xiao…[et al.]. Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining. Journal of Healthcare Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1181033
American Medical Association (AMA)
Xu, Xiao& Jin, Tao& Wei, Zhijie& Wang, Jianmin. Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1181033
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181033