统一糖尿病时间序列数据格式，让多源设备数据可互通分析。
A unified data format for managing diabetes time-series data: DIAbetes eXchange (DIAX)
- 基于JSON设计统一数据格式，整合血糖、胰岛素和进食信号。
- 支持超1000万患者小时数据，兼容多个主流研究数据集。
- 开源工具链助力数据转换与可视化，适合医疗AI研究者使用。
糖尿病设备如连续血糖监测（CGM）、智能胰岛素笔和自动化胰岛素输送系统生成丰富的时序数据，广泛用于研究和机器学习。然而，不同来源的数据格式不一致，阻碍了数据共享、整合与分析。本文提出DIAX（DIAbetes eXchange），一种基于JSON的标准化格式，用于统一管理包括CGM、胰岛素和餐食在内的糖尿病时序数据。DIAX提升互操作性、可复现性和可扩展性，尤其适用于机器学习应用。一个开源仓库提供数据集转换、跨格式兼容、可视化及社区贡献工具。DIAX是转化资源而非数据托管平台，确保灵活性且不强制数据共享。目前，DIAX已兼容其他标准化努力，并支持主要数据集（DCLP3、DCLP5、IOBP2、PEDAP、T1Dexi、Loop），涵盖超过1000万患者小时的数据。
原文摘要 · Abstract (English)
Diabetes devices, including Continuous Glucose Monitoring (CGM), Smart Insulin Pens, and Automated Insulin Delivery systems, generate rich time-series data widely used in research and machine learning. However, inconsistent data formats across sources hinder sharing, integration, and analysis. We present DIAX (DIAbetes eXchange), a standardized JSON-based format for unifying diabetes time-series data, including CGM, insulin, and meal signals. DIAX promotes interoperability, reproducibility, and extensibility, particularly for machine learning applications. An open-source repository provides tools for dataset conversion, cross-format compatibility, visualization, and community contributions. DIAX is a translational resource, not a data host, ensuring flexibility without imposing data-sharing constraints. Currently, DIAX is compatible with other standardization efforts and supports major datasets (DCLP3, DCLP5, IOBP2, PEDAP, T1Dexi, Loop), totaling over 10 million patient-hours of data. https://github.com/Center-for-Diabetes-Technology/DIAX
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