Article info
Original research
Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan
- Correspondence to Dr Tadao Ooka, Department of Health Sciences, University of Yamanashi Faculty of Medicine Graduate School of Medicine, Chuo, Yamanashi, Japan; tohoka{at}yamanashi.ac.jp
Citation
Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan
Publication history
- Received November 5, 2020
- Revision received February 23, 2021
- Accepted February 25, 2021
- First published March 11, 2021.
Online issue publication
January 09, 2022
Article Versions
- Previous version (9 January 2022).
- You are viewing the most recent version of this article.
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.