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Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study.

Tomohide YamadaDaisuke YoneokaYuta HiraikeKimihiro HinoHiroyoshi ToyoshibaAkira A ShishidoHisashi NomaNobuhiro ShojimaToshimasa Yamauchi
Published in: Journal of medical Internet research (2020)
Concept Encoder achieved a 10-fold reduction of the screening workload for systematic review after learning from 2 randomly selected studies on the target topic. However, few meta-analyses of randomized controlled trials were included. Concept Encoder could facilitate the acquisition of evidence for clinical guidelines.
Keyphrases
  • meta analyses
  • systematic review
  • neural network
  • randomized controlled trial
  • clinical practice
  • deep learning