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Incorporating Topic Assignment Constraint and Topic Correlation Limitation into Clinical Goal Discovering for Clinical Pathway Mining
- Source :
- Journal of Healthcare Engineering, Vol 2017 (2017), Journal of Healthcare Engineering
- Publication Year :
- 2017
- Publisher :
- Hindawi Limited, 2017.
-
Abstract
- 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.
- Subjects :
- lcsh:Medical technology
Quality Assurance, Health Care
020205 medical informatics
Article Subject
Computer science
Process (engineering)
media_common.quotation_subject
Biomedical Engineering
Process mining
Health Informatics
02 engineering and technology
Machine learning
computer.software_genre
Latent Dirichlet allocation
03 medical and health sciences
symbols.namesake
0302 clinical medicine
Clinical pathway
0202 electrical engineering, electronic engineering, information engineering
Data Mining
Humans
Quality (business)
030212 general & internal medicine
Cerebral Hemorrhage
media_common
lcsh:R5-920
Models, Statistical
business.industry
Coherence (statistics)
Constraint (information theory)
ComputingMethodologies_PATTERNRECOGNITION
lcsh:R855-855.5
Critical Pathways
symbols
Surgery
Artificial intelligence
business
lcsh:Medicine (General)
Quality assurance
computer
Algorithms
Research Article
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 20402309 and 20402295
- Volume :
- 2017
- Database :
- OpenAIRE
- Journal :
- Journal of Healthcare Engineering
- Accession number :
- edsair.doi.dedup.....4dbc8dd30054d684e7bf915af39d713f