Article info
PDFOphthalmology
Research
Cross-sectional study: Does combining optical coherence tomography measurements using the ‘Random Forest’ decision tree classifier improve the prediction of the presence of perimetric deterioration in glaucoma suspects?
- Correspondence to Dr Ryo Asaoka; rasaoka-tky{at}umin.ac.jp
Citation
Cross-sectional study: Does combining optical coherence tomography measurements using the ‘Random Forest’ decision tree classifier improve the prediction of the presence of perimetric deterioration in glaucoma suspects?
Publication history
- Received April 24, 2013
- Revised June 20, 2013
- Accepted August 12, 2013
- First published October 7, 2013.
Online issue publication
October 26, 2017
Supplementary Data
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Files in this Data Supplement:
- Data supplement 1 - Online figure
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Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/