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

Tomohide Yamada 1, 2 * , MD, PhD ;   Daisuke Yoneoka 3 * , PhD ;   Yuta Hiraike 4 , MD, PhD ;   Kimihiro Hino 5 , PhD ;   Hiroyoshi Toyoshiba 5 , PhD ;   Akira Shishido 5 ;   Hisashi Noma 6 , PhD ;   Nobuhiro Shojima 2 , MD, PhD ;   Toshimasa Yamauchi 2 , MD, PhD

1 University Institute for Population Health , King’s College London , London , GB

2 Department of Diabetes and Metabolic Diseases , Graduate School of Medicine , University of Tokyo , Tokyo , JP

3 Graduate School of Public Health , St Luke's International University , Tokyo , JP

4 Department of Cell Biology , Harvard Medical School , Boston , MA , US

5 FRONTEO Healthcare Inc , Tokyo , JP

6 Department of Data Science , The Institute of Statistical Mathematics , Tokyo , JP

*these authors contributed equally

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