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. (via Semantic Scholar)