Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study
Journal of Medical Internet Research2020Vol. 22(12), pp. e22422–e22422
Citations Over TimeTop 10% of 2020 papers
Tomohide Yamada, Daisuke Yoneoka, Yuta Hiraike, Kimihiro Hino, Hiroyoshi Toyoshiba, Akira Shishido, Hisashi Noma, Nobuhiro Shojima, Toshimasa Yamauchi
Abstract
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.
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