The research of query expansion based on medical terms reweighting in medical information retrieval
Abstract In recent years, information retrieval technology is widely used in the medical industry. How to effectively retrieve electronic medical record has become a hot issue in the field of information retrieval. Medical terms occupy an important position in the electronic medical record (EMR) ret...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-05-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1124-3 |
| _version_ | 1818288528200564736 |
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| author | Lijuan Diao Hong Yan Fuxue Li Shoujun Song Guohua Lei Feng Wang |
| author_facet | Lijuan Diao Hong Yan Fuxue Li Shoujun Song Guohua Lei Feng Wang |
| author_sort | Lijuan Diao |
| collection | DOAJ |
| description | Abstract In recent years, information retrieval technology is widely used in the medical industry. How to effectively retrieve electronic medical record has become a hot issue in the field of information retrieval. Medical terms occupy an important position in the electronic medical record (EMR) retrieval, and they are usually used to limit the retrieval conditions, so they suggest the user’s search intention. Aiming at the importance of medical terms, a method of query reformulation based on medical term reweighting is proposed to improve the performance of EMR retrieval. Firstly, the method filtrates medical terms from the origin query. Then, each medical term is weighted by its own self-information which can be estimated from the document set. Finally, the new query is constructed by combining the weighted medical terms and origin query proportionally. Experimental results on the TREC dataset show that our method performed above the baseline in three performance metrics: MAP (+ 14.2%), bpref (+ 8.0%), and P@10 (+ 9.6%). |
| first_indexed | 2024-12-13T01:57:49Z |
| format | Article |
| id | doaj.art-8432d37f50924fd8b737b7eab4e57854 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-13T01:57:49Z |
| publishDate | 2018-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-8432d37f50924fd8b737b7eab4e578542022-12-22T00:03:20ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-05-01201811710.1186/s13638-018-1124-3The research of query expansion based on medical terms reweighting in medical information retrievalLijuan Diao0Hong Yan1Fuxue Li2Shoujun Song3Guohua Lei4Feng Wang5Binzhou Medical UniversityYingkou Institute of TechnologyYingkou Institute of TechnologyYantai Affiliated Hospital of Binzhou Medical UniversityBinzhou Medical UniversityLudong UniversityAbstract In recent years, information retrieval technology is widely used in the medical industry. How to effectively retrieve electronic medical record has become a hot issue in the field of information retrieval. Medical terms occupy an important position in the electronic medical record (EMR) retrieval, and they are usually used to limit the retrieval conditions, so they suggest the user’s search intention. Aiming at the importance of medical terms, a method of query reformulation based on medical term reweighting is proposed to improve the performance of EMR retrieval. Firstly, the method filtrates medical terms from the origin query. Then, each medical term is weighted by its own self-information which can be estimated from the document set. Finally, the new query is constructed by combining the weighted medical terms and origin query proportionally. Experimental results on the TREC dataset show that our method performed above the baseline in three performance metrics: MAP (+ 14.2%), bpref (+ 8.0%), and P@10 (+ 9.6%).http://link.springer.com/article/10.1186/s13638-018-1124-3Medical information retrievalElectronic medical recordQuery reformulationMedical termination |
| spellingShingle | Lijuan Diao Hong Yan Fuxue Li Shoujun Song Guohua Lei Feng Wang The research of query expansion based on medical terms reweighting in medical information retrieval EURASIP Journal on Wireless Communications and Networking Medical information retrieval Electronic medical record Query reformulation Medical termination |
| title | The research of query expansion based on medical terms reweighting in medical information retrieval |
| title_full | The research of query expansion based on medical terms reweighting in medical information retrieval |
| title_fullStr | The research of query expansion based on medical terms reweighting in medical information retrieval |
| title_full_unstemmed | The research of query expansion based on medical terms reweighting in medical information retrieval |
| title_short | The research of query expansion based on medical terms reweighting in medical information retrieval |
| title_sort | research of query expansion based on medical terms reweighting in medical information retrieval |
| topic | Medical information retrieval Electronic medical record Query reformulation Medical termination |
| url | http://link.springer.com/article/10.1186/s13638-018-1124-3 |
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