在社会康复中提供决策支持的数字工具
Valeriya Gribova1, Elena Shalfeeva1
1Institute of Automation and Control Processes Far Eastern Branch of the Russian Academy of Sciences, 5, Radio St., Vladivostok 690041, Russia.
Journal of personalized medicine
|October 28, 2025
概括
本研究介绍了语义模型和人工智能驱动的虚拟助理的框架,以增强个性化的社会康复规划. 这些系统整合了知识,以改善患者的治疗结果.
科学领域:
- 康复科学 康复科学 康复科学
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 社会康复是一个多阶段的过程,需要客观评估和个性化策略.
- 信息技术,特别是人工智能,为先进的康复解决方案提供了潜力.
- 现有的知识表示方法不足以满足动态康复需求.
研究的目的:
- 呈现相互连接的语义模型,用于社会康复中的可扩展知识.
- 为开发虚拟助理和决策支持系统引入一个综合框架和方法.
- 利用人工智能进行客观评估和个性化康复规划.
主要方法:
- 域名分析以确定概念和知识资源,以提供智力支持.
- 用实体学方法开发语义模型,用于患者康复的知识表示.
- 与IACPaaS平台集成以实现基于云的实现.
主要成果:
- 开发了一套语义模型来表示康复知识.
- 建立了实施决策支持系统的方法.
- 这些系统通过更新数据和法规促进了康复知识的扩展.
结论:
- 拟议的系统通过将相关知识与高度个性化相结合,提供了显著的优势.
- 这种方法通过整合先进的AI和语义建模来增强康复规划.
- 未来的系统可以不断扩大其知识基础,以改善患者护理.
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