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Comparing the usefulness of a new algorithm to measure visual field using the variational Bayes linear regression in glaucoma patients, in comparison to the Swedish interactive thresholding algorithm.

Hiroshi MurataRyo AsaokaYuri FujinoMasato MatsuuraKazunori HirasawaSatoshi ShimadaNobuyuki Shoji
Published in: The British journal of ophthalmology (2021)
VBLR-VF reduced test duration while maintaining the same accuracy as the SITA-standard.
Keyphrases
  • end stage renal disease
  • machine learning
  • deep learning
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • neural network
  • patient reported outcomes