This paper is in the following e-collection/theme issue:

Knowledge Translation and Implementation Science (280) Artificial Intelligence (625) Machine Learning (960)

Published on in Vol 22 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22422, first published .
Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

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

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

Authors of this article:

Tomohide Yamada 1, 2 Author Orcid Image ;   Daisuke Yoneoka 3 Author Orcid Image ;   Yuta Hiraike 4 Author Orcid Image ;   Kimihiro Hino 5 Author Orcid Image ;   Hiroyoshi Toyoshiba 5 Author Orcid Image ;   Akira Shishido 5 Author Orcid Image ;   Hisashi Noma 6 Author Orcid Image ;   Nobuhiro Shojima 2 Author Orcid Image ;   Toshimasa Yamauchi 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (11) Metrics

Journals

  1. Kharawala S, Mahajan A, Gandhi P. Artificial intelligence in systematic literature reviews: a case for cautious optimism. Journal of Clinical Epidemiology 2021 View