精炼物质使用分类:一种实体框架,用于增强大规模数据收集
Chi-Hua Lu1, Kenneth E Leonard2, Werner Ceusters3
1University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|February 23, 2026
概括
我们开发了"成物质本体学" (ASO),以提高物质使用障碍数据的准确性. 这种新的本体学标准化了物质分类,以更好地跟踪和公共卫生干预.
科学领域:
- 生物医学信息学 生物医学信息学
- 公共卫生 公共卫生
- 本体学 工程学 工程学
背景情况:
- 药物使用障碍 (SUD) 在美国是一个重大的公共卫生挑战.
- 目前的物质分类方法带来了模糊性,影响了数据准确性和跟踪SUD趋势的一致性.
- 纽约州的成服务和支持办公室需要可靠的数据,用于联邦报告和公共卫生计划.
研究的目的:
- 建立成物质本体学 (ASO) 的基础结构.
- 解决物质分类方面的挑战,以提高SUD数据的准确性和一致性.
- 创建一个标准化的分类系统来跟踪物质的获取和使用.
主要方法:
- 应用基本形式本体学 (BFO) 原则用于本体学开发.
- 根据化学成分和使用特征,使用属和差异来定义物质类.
- 根据一个程序录取用例开发了最初的143个类.
主要成果:
- 开发了基本的成物质本体学 (ASO).
- ASO提供了一个结构化的分类系统,用于对SUD相关的物质进行分类.
- 已经创建了一套最初的143种物质类别.
结论:
- ASO提供了一个强大的框架,以提高SUD数据的可靠性.
- 进一步的试点测试和利益相关者的合作对于改进和验证ASO至关重要.
- 成功实施ASO可以改善SUD模式的跟踪,并为公共卫生干预提供信息.
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