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ABSTRACT: Purpose
To develop a computable phenotype for normal tension glaucoma (NTG) to enhance disease identification from electronic health records (EHRs).Design
Retrospective cohort study.Subjects
Deidentified EHR data from an academic medical center identified 1851 patients aged ≥40 years, with glaucoma and available clinical notes.Methods
Of these 1851 patients, 200 were randomly selected for a chart review to receive gold standard diagnoses. Four rule-based NTG computable phenotypes were developed and tested. Phenotype 1 relied on NTG International Classification of Diseases (ICD)-9 and ICD-10 codes. Phenotype 2 incorporated structured intraocular pressure (IOP) data and medication lists. Phenotype 3 used only structured IOP data. Phenotype 4 combined structure
SUBMITTER: Chan F
PROVIDER: S-EPMC12301754 | biostudies-literature | 2025 Nov-Dec
REPOSITORIES: biostudies-literature