Synthetic Glaucoma Progression Dataset and Analysis Code for "ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression

Exact synthetic dataset (300 patients / 600 eyes; ~5-year irregular follow-up) and analysis pipeline matching the manuscript “ChatGPT-5–Assisted Nonlinear Time-Series Analysis of Glaucoma Progression: Persistence, Volatility, and Rapid Deterioration Metrics from a Fully Synthetic Cohort”. The archive includes: Main dataset in CSV/XLSX format (exact version used in the manuscript) Data dictionary Per-eye metrics file used for results Preview subsets of the dataset Python script to reproduce

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