Healthcare data analytics: using a metadata annotation approach for integrating electronic hospital records
| Autor: | Liuliu Fu, Boyi Xu, Weiwei Xin, Ling Li, Ke Xu, Hongming Cai |
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| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Information retrieval 020205 medical informatics Computer science business.industry Information access Data element definition 02 engineering and technology Linked data Semantics Metadata repository Metadata Annotation Analytics 0202 electrical engineering electronic engineering information engineering Business Management and Accounting (miscellaneous) 020201 artificial intelligence & image processing Statistics Probability and Uncertainty business |
| Zdroj: | Journal of Management Analytics. 3:136-151 |
| ISSN: | 2327-0039 2327-0012 |
| DOI: | 10.1080/23270012.2016.1141331 |
| Popis: | The data in electronic medical records (EMR) are complex in structure. They are independent, yet related to each other. In order to improve information access through the use of EMR, annotating work on these data is necessary. The annotation on metadata, the resource data which contain a meta-model of the database, is the basis of the annotating work if a semi-automated or an automated annotating approach which aims at making the database more accessible is expected. In this study, a method has been proposed to transform the terms which cannot be matched directly by changing them literally but maintaining their semantics, and then annotating them indirectly. After the transforming work, a refinement method which is reducible to phrase sense disambiguation (PSD) is employed to ensure accuracy. A pilot study on a hospital database has been conducted to test the accuracy and effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
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