Towards a multi-level framework for supporting systematic review - A pilot study

Dingcheng Li, Zhen Wang, Feichen Shen, Mohammad Hassan Murad, Hongfang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

As part of the forefront of evidence-based medicine, a systematic review (SR) identifies, appraises, and synthesizes all the available literature relevant to a question of interest in a transparent and systematic way. A time-consuming step in conducting systematic review (SR) is the manual article screening from a list of potentially relevant articles retrieved by librarians. In this study, we propose a multi-level SR supporting framework including three levels: Level 1 - ranking with multiple metrics aiming to assist the screening process by increasing the efficiency without compromising the validity; Level 2 - topic analysis for discovering distributed semantics; and Level 3 - network analysis on relation extracted for comprehensive semantic summarization. The sensitivities in two case studies for relevance ranking reached above 80%, while the screening burdens were lowered to 25% based on a crude relevance ranking approach. Topic analysis based on Latent Dirichlet Allocations (LDAs) showed high consistency among the domain experts' selection of articles. The predicate relation network summarized important predicate relations between medical concepts.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
EditorsHuiru Zheng, Xiaohua Tony Hu, Yadong Wang, Jin-Kao Hao, David Gilbert, Daniel Berrar, Kwang-Hyun Cho, Werner Dubitzky
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-50
Number of pages8
ISBN (Electronic)9781479956692
DOIs
StatePublished - Dec 29 2014
Event2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 - Belfast, United Kingdom
Duration: Nov 2 2014Nov 5 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014

Other

Other2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014
CountryUnited Kingdom
CityBelfast
Period11/2/1411/5/14

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Keywords

  • latent Dirichlet allocations
  • relation network analysis
  • relevance ranking
  • systematic review
  • topic modeling

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Li, D., Wang, Z., Shen, F., Murad, M. H., & Liu, H. (2014). Towards a multi-level framework for supporting systematic review - A pilot study. In H. Zheng, X. T. Hu, Y. Wang, J-K. Hao, D. Gilbert, D. Berrar, K-H. Cho, & W. Dubitzky (Eds.), Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 (pp. 43-50). [6999266] (Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2014.6999266