在健康IT本体学中探索性搜索的可视化路径
Konrad Höffner1, Hannes Raphael Brunsch1, Franziska Jahn1
1Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, Leipzig University, Germany.
Studies in health technology and informatics
|November 22, 2024
概括
找到最好的健康信息系统软件是很困难的. 本研究引入了使用健康IT本体 (HITO) 的新视觉探索工具,以简化医疗保健应用程序的软件选择.
科学领域:
- 医疗信息学 医疗信息学
- 软件工程 软件工程 软件工程
- 知识管理知识管理
背景情况:
- 为医疗信息系统选择最佳软件是复杂的,因为缺乏系统化和公正的信息.
- 现有的探索软件领域的方法往往缺乏全面的途径和高效的搜索功能.
研究的目的:
- 为探索医疗保健应用系统和软件产品提供一种新的视觉方法.
- 在Web应用程序中开发和实施一个算法,用于导航健康IT本体 (HITO).
主要方法:
- 开发了一种在本体学层面运行的路径查找算法.
- 沿着选定的路径集成的类实例与搜索过器来改进探索空间.
- 在HITO网站上公开的开源Web应用程序中实现了该方法.
主要成果:
- 这种新的方法使医疗IT软件产品在HITO路径上的视觉探索成为可能.
- 该系统将本体层次的路径查找与实例数据和搜索过器相结合,以实现高效的探索.
- 该网络应用程序是免费访问的,并根据麻省理工学院的开源许可证获得许可.
结论:
- 提出的方法提供了一种独特的方式,可以在医疗保健中导航复杂的软件领域.
- 这种方法增强了健康信息系统最佳软件组合的发现.
- 该方法可适应其他需要本体学和知识图交互的领域,具有未来AI集成的潜力.
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