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Dataset Information

Bidirectional gated recurrent unit network model can generate future visual field with variable number of input elements.


ABSTRACT:

Purpose

This study aimed to predict future visual field tests using a bidirectional gated recurrent unit (Bi-GRU) and assess its performance based on the number of input visual field tests and the prediction time interval.

Materials and methods

This study included patients who underwent visual field tests at least four times at five university hospitals between June 2004 and April 2022. All data were accessed in October 2022 for research purposes. In total, 23,517 eyes with 185,858 visual field tests were used as the training dataset, and 1,053 eyes with 9,459 visual field tests were used as the test dataset. The Bi-GRU architecture was designed to take a variable number of visual field tests, ranging from 3 to 80, as input and predict visual field tests at the desired arbit

SUBMITTER: Lee J 

PROVIDER: S-EPMC11349096 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature