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Forecasting Future Humphrey Visual Fields Using Deep Learning
[article]
2018
bioRxiv
pre-print
Purpose: To determine if deep learning networks could be trained to forecast a future 24-2 Humphrey Visual Field (HVF). Design: Retrospective database study. Participants: All patients who obtained a HVF 24-2 at the University of Washington. Methods: All datapoints from consecutive 24-2 HVFs from 1998 to 2018 were extracted from a University of Washington database. Ten-fold cross validation with a held out test set was used to develop the three main phases of model development: model
doi:10.1101/293621
fatcat:lga4gwlzgnh3po6qwbkhd2xs3q