首个可机器读取的综合征定义格式，助力公共卫生数据互通与AI应用。
The Open Syndrome Definition
- 提出开放、机器可读的综合征定义格式，支持跨系统统一表达。
- 构建首个标准化病例定义数据集，实现人工文本向机器格式转换。
- 提供在线平台供查阅、分析与贡献，适合公共卫生与AI研究者使用。
病例定义对有效传达公共卫生威胁至关重要。然而，缺乏标准化、机器可读的格式，严重阻碍了互操作性、流行病学研究、定性数据交换及计算分析方法（包括人工智能）的应用，导致组织间和区域间比较困难，限制数据整合，抑制公共卫生领域的技术革新。为此，我们提出首个开放的、机器可读的病例与综合征定义表示格式，并构建首个全面的标准化病例定义数据集，提供将现有非结构化定义转换为机器可读格式的工具。我们还推出了一个在线平台（https://opensyndrome.org），用于浏览、分析和贡献新定义。该格式实现了病例定义在系统间的可扩展一致使用，释放了人工智能在提升公共卫生准备与响应能力方面的潜力。相关源代码可在 https://github.com/OpenSyndrome/schema 以 MIT 许可证获取。
原文摘要 · Abstract (English)
Case definitions are essential for effectively communicating public health threats. However, the absence of a standardized, machine-readable format poses significant challenges to interoperability, epidemiological research, the exchange of qualitative data, and the effective application of computational analysis methods, including artificial intelligence (AI). This complicates comparisons and collaborations across organizations and regions, limits data integration, and hinders technological innovation in public health. To address these issues, we propose the first open, machine-readable format for representing case and syndrome definitions. Additionally, we introduce the first comprehensive dataset of standardized case definitions and tools to convert existing human-readable definitions into machine-readable formats. We also provide an accessible online platform for browsing, analyzing, and contributing new definitions, available at https://opensyndrome.org. The Open Syndrome Definition format enables consistent, scalable use of case definitions across systems, unlocking AI's potential to strengthen public health preparedness and response. The source code for the format can be found at https://github.com/OpenSyndrome/schema under the MIT license.
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