Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings
SCIENTIFIC REPORTS, 12(1).
MeSH headings : Algorithms; Artificial Intelligence; Glaucoma / diagnosis; Humans; Machine Learning; Primary Health Care; Referral and Consultation
TL;DR:
Predictive classifiers using primarily non-ocular features have the potential to be used for identifying suspected glaucoma in non-eye care settings, including primary care and further research into finding additional features that improve the performance of predictive classifiers is warranted.
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