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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.
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© 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/.