Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms

Area of Science:

• Biomedical Informatics
• Information Retrieval
• Controlled Vocabularies

Background:

• Medical Subject Headings (MeSH) is a hierarchical controlled vocabulary crucial for indexing and searching biomedical literature.
• Current methods for using MeSH in PubMed (e.g., direct term queries or the MeSH interface) are underutilized due to a lack of convenient linking to user-specific queries.
• There is a need for a more intuitive approach to connect user-defined search terms with standardized MeSH terminology.

Purpose of the Study:

• To develop and evaluate a novel web interface that facilitates the discovery of MeSH terms relevant to user queries.
• To enhance the process of identifying appropriate MeSH terms for effective literature searching and indexing.
• To provide a tool that can also assist in expanding abbreviations and disambiguating search terms.

Main Methods:

• The developed method utilizes the co-occurrence patterns between text words in user queries and MeSH terms.
• Keywords related to each MeSH term are identified based on these co-occurrence statistics.
• User queries are matched against these keywords, and candidate MeSH terms are ranked according to their relevance to the query.

Main Results:

• The proposed method demonstrated superior performance in terms of topic coherence compared to other term extraction approaches.
• Experimental results validate the effectiveness of the interface in identifying relevant MeSH terms.
• The system successfully aids in finding full names for abbreviations and resolving ambiguities in user queries.

Conclusions:

• The new web interface offers an effective solution for linking user queries to standardized MeSH terms.
• This tool has the potential to improve the efficiency and accuracy of biomedical literature searches.
• The system's ability to handle abbreviations and disambiguation adds significant value for researchers.