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 per-eye metrics and Table 1 exactly as in the manuscript README with usage notes, license, and citation guidelines All data are fully synthetic and contain no personal health information (PHI).License: CC BY 4.0.Please cite both the manuscript and the dataset DOI when using this material.本数据集为精准合成数据集，纳入300名受试者、共计600只眼的随访数据，随访周期约5年且为不规则随访；其配套分析流程与论文《ChatGPT-5辅助青光眼进展的非线性时间序列分析：来自全合成队列的持续性、波动性与快速恶化指标》完全匹配。 该归档包包含以下内容： 1. 论文中使用的原版主数据集，格式为CSV/XLSX 2. 数据字典 3. 用于生成研究结果的单眼指标文件 4. 数据集预览子集 5. 可精准复现论文中单眼指标与表1的Python脚本 6. 包含使用说明、许可协议与引用规范的README文档 所有数据均为全合成生成，不包含任何个人健康信息（Personal Health Information, PHI）。许可协议：CC BY 4.0。使用本数据集时，请同时引用该论文与本数据集的数字对象标识符（DOI）。