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, United Kingdom

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

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

4 Department of Cell Biology, Harvard Medical School, Boston, MA, United States

5 FRONTEO Healthcare Inc, Tokyo, Japan

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

*these authors contributed equally

Corresponding Author:

  • Tomohide Yamada, MD, PhD
  • University Institute for Population Health
  • King’s College London
  • Addison House
  • Guys Campus
  • London, SE1 1UL
  • United Kingdom
  • Phone: 44 (0)20 7848 6625
  • Email: bqx07367@yahoo.co.jp