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MeSH Term Suggestion for Systematic Review Literature Search

Association for Computing Machinery (ACM) via YouTube

Overview

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Explore techniques for suggesting Medical Subject Headings (MeSH) terms to enhance systematic review literature searches in this 29-minute conference talk from the Association for Computing Machinery (ACM). Delve into the challenges of constructing complex Boolean queries for medical systematic reviews and the importance of incorporating MeSH terms to improve search quality. Examine various methods for automatically suggesting relevant MeSH terms based on initial free-text queries. Analyze the effectiveness of these suggestion methods through empirical evaluation, including retrieval, ranking, and refinement processes. Gain insights into how suggested MeSH terms impact Boolean query effectiveness and overall search results. Consider the challenges in evaluating search effectiveness and explore proposed solutions. Understand the potential of MeSH term suggestion techniques to streamline the systematic review process and improve the comprehensiveness of literature searches in medical research.

Syllabus

Intro
Systematic review
Boolean Search
Our Goal
Current Method
Presentation Workflow
How do we suggest MeSH terms
Rank Fusion
Experiments
Dataset
Effectiveness of MeSH term Suggestion
Pipeline
Evaluation of Suggestion
Effectiveness of Retrieval
Effectiveness of Ranking
Effectiveness of Refineme.
Summary of MeSH suggestie.
Effectiveness of Searching Using Suggested Query
Why Searching?
Evaluation of search effective
Problems of Evaluation
Our Solution
MLE
Impact of MeSH terms
Impact of Unjudged Docun.
Impact of Fusion
Impact of Refinement
Usage of MeSH suggest
Future research

Taught by

Association for Computing Machinery (ACM)

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