Investigation of text-mining methodologies to aid the construction of search strategies in systematic reviews of diagnostic test accuracy-a case study.

ABSTRACT: Current methodologies for designing search strategies rely heavily on the knowledge and expertise of information specialists. Yet, the volume and complexity of scientific literature is overwhelming for even the most experienced information specialists, making it difficult to produce robust search strategies for complex systematic reviews. In this case study, we aimed to assess and describe the benefits and limitations of using semi-automated text-mining tools for designing search strategies in a systematic review of diagnostic test accuracy. An experienced information specialist designed a search strategy using traditional methods. This strategy was then amended to include additional terms identified by text-mining tools. We evaluated the usability and expertise required, risk of introduci

SUBMITTER: O'Keefe H 

PROVIDER: S-EPMC10088010 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature