Towards semantic-driven boolean query formalization for biomedical systematic literature reviews
- 24 November 2022
- journal article
- review article
- Published by Elsevier in International Journal of Medical Informatics
- Vol. 170, 104928
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- The risk of conclusion change in systematic review updates can be estimated by learning from a database of published examplesJournal of Clinical Epidemiology, 2019
- Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviewsJAMIA Open, 2019
- Combination of conditional random field with a rule based method in the extraction of PICO elementsBMC Medical Informatics and Decision Making, 2018
- Semantic Sequential Query Expansion for Biomedical Article SearchIEEE Access, 2018
- Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine2018
- Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registryBMJ Open, 2017
- Scalability of Continuous Active Learning for Reliable High-Recall Text Classification2016
- Multi-Faceted Recall of Continuous Active Learning for Technology-Assisted Review2015
- Automating data extraction in systematic reviews: a systematic reviewSystematic Reviews, 2015
- Cochrane diagnostic test accuracy reviewsSystematic Reviews, 2013