MeSH Term Suggestion

MeSH term suggestion focuses on automating the selection of appropriate Medical Subject Headings (MeSH) terms for literature searches, particularly within systematic reviews. Current research emphasizes developing efficient algorithms, including neural networks and pre-trained language models, to suggest relevant MeSH terms based on initial free-text queries or other input data, improving the accuracy and speed of the process. This automated approach aims to significantly reduce the time and expertise required for constructing effective Boolean queries, thereby enhancing the quality and reproducibility of medical research.