Back
Machine Learning Assisted Citation Screening for Systematic Reviews.
Journal article

Machine Learning Assisted Citation Screening for Systematic Reviews.

  • Dhrangadhariya A University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland.
  • Hilfiker R School of Health Sciences, HES-SO Valais-Wallis, Leukerbad, Switzerland.
  • Schaer R University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland.
  • Müller H University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland.
Show more…
  • 2020-06-24
Published in:
  • Studies in health technology and informatics. - 2020
Automation
Machine learning
Natural language processing
Systematic reviews
Humans
Machine Learning
Mass Screening
Research
English Evidence-based practice is highly dependent upon up-to-date systematic reviews (SR) for decision making. However, conducting and updating systematic reviews, especially the citation screening for identification of relevant studies, requires much human work and is therefore expensive. Automating citation screening using machine learning (ML) based approaches can reduce cost and labor. Machine learning has been applied to automate citation screening but not for the SRs with very narrow research questions. This paper reports the results and observations for an ongoing research that aims to automate citation screening for SRs with narrow research questions using machine learning. The research also sheds light on the problem of class imbalance and class overlap on the performance of ML classifiers when applied to SRs with narrow research questions.
Language
  • English
Identifiers
Persistent URL
https://sonar.ch/global/documents/279242
Statistics
Document views: 15 File downloads: