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Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma

Authors

  1. Correspondence to Dr R Asaoka, Department of Ophthalmology, The University of Tokyo, Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; rasaoka-tky{at}umin.ac.jp
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Citation

Hirasawa H, Murata H, Mayama C, et al
Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma

Publication history

  • Received September 11, 2013
  • Revised February 20, 2014
  • Accepted March 22, 2014
  • First published May 2, 2014.
Online issue publication 
August 18, 2014

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