MeSH TERM RECOMMENDATION FOR CONDUCTING A COMPREHENSIVE LITERATURE SEARCH FOR A SYSTEMATIC REVIEWS
International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)
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Abstract
Thorough literature searches are necessary for high-quality medical systematic reviews in order to assure the reliability of the recommendations and outcomes. Undoubtedly, the process of generating systematic reviews heavily relies on conducting a thorough search for pertinent medical literature. This task typically requires the collaboration of medical researchers and information professionals who possess expertise in the respective domains of medicine and search techniques. Together, they work on developing effective search queries. In this particular context, queries are quite intricate, relying on Boolean logic and using both free-text terms and index terms from standardized terminologies such as MeSH. Constructing these queries is challenging and requires a significant amount of time and effort. Utilizing MeSH words has been demonstrated to enhance the caliber of the search outcomes. Nevertheless, it can be challenging to choose the proper MeSH terms to incorporate into a query. Information specialists frequently lack familiarity with the MeSH database and may have uncertainties regarding the suitability of MeSH terms for a certain query. Often, the complete potential of the MeSH nomenclature is not completely utilized. This study explores techniques for recommending MeSH terms using an initial Boolean query that exclusively consists of free-text terms. These techniques guarantee the automatic identification of extremely efficient MeSH terms to be included in a systematic review query. Our study provides an empirical assessment of various strategies for suggesting MeSH terms. We conduct a comprehensive examination of the retrieval, ranking, and refinement of MeSH term suggestions for each approach and assess the influence of these suggestions on the efficacy of Boolean queries.
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