Work

Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields.

Year: 2002

Type: article

Study design: Observational Study

Source: PubMed

Authors: Pamela A Sample, Michael H Goldbaum, Kwokleung Chan, Catherine Boden, Te-Won Lee, Christiana Vasile, Andreas G Boehm, Terrence Sejnowski, Chris A Johnson, Robert N Weinreb

Institution: University of California San Diego

Language: English

Topic: Glaucoma and retinal disorders

Subfield: Ophthalmology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Eye Institute

Awards: Diagnostic Innovations in Glaucoma Study: Visual Function, Perimetry and Psychophysics in Glaucoma, STRUCTURED ANALYSIS OF THE RETINA (STARE)

OpenAlex ID: W1546949280

FWCI: 2.547

Cites: 36

Cited by: 40

Related to: 10