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Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma

Author

Listed:
  • Hiroshi Murata
  • Hiroyo Hirasawa
  • Yuka Aoyama
  • Kenji Sugisaki
  • Makoto Araie
  • Chihiro Mayama
  • Makoto Aihara
  • Ryo Asaoka

Abstract

Purpose: The purpose of this study was to create a vision-related quality of life (VRQoL) prediction system to identify visual field (VF) test points associated with decreased VRQoL in patients with glaucoma. Method: VRQoL score was surveyed in 164 patients with glaucoma using the ‘Sumi questionnaire’. A binocular VF was created from monocular VFs by using the integrated VF (IVF) method. VRQoL score was predicted using the ‘Random Forest’ method, based on visual acuity (VA) of better and worse eyes (better-eye and worse-eye VA) and total deviation (TD) values from the IVF. For comparison, VRQoL scores were regressed (linear regression) against: (i) mean of TD (IVF MD); (ii) better-eye VA; (iii) worse-eye VA; and (iv) IVF MD and better- and worse-eye VAs. The rank of importance of IVF test points was identified using the Random Forest method. Results: The root mean of squared prediction error associated with the Random Forest method (0.30 to 1.97) was significantly smaller than those with linear regression models (0.34 to 3.38, p

Suggested Citation

  • Hiroshi Murata & Hiroyo Hirasawa & Yuka Aoyama & Kenji Sugisaki & Makoto Araie & Chihiro Mayama & Makoto Aihara & Ryo Asaoka, 2013. "Identifying Areas of the Visual Field Important for Quality of Life in Patients with Glaucoma," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-7, March.
  • Handle: RePEc:plo:pone00:0058695
    DOI: 10.1371/journal.pone.0058695
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    References listed on IDEAS

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    1. Mark R. Segal & Michael P. Cummings & Alan E. Hubbard, 2001. "Relating Amino Acid Sequence to Phenotype: Analysis of Peptide-Binding Data," Biometrics, The International Biometric Society, vol. 57(2), pages 632-643, June.
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    Cited by:

    1. Richard A Russell & David F Garway-Heath & David P Crabb, 2013. "New Insights into Measurement Variability in Glaucomatous Visual Fields from Computer Modelling," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-8, December.
    2. Kenya Yuki & Ryo Asaoka & Kazuo Tsubota, 2014. "The Relationship between Central Visual Field Damage and Motor Vehicle Collisions in Primary Open-Angle Glaucoma Patients," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-15, December.

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