基于本体学的糖尿病营养治疗决策支持系统:一个系统的文献审查
Daniele Spoladore1, Martina Tosi2, Erna Cecilia Lorenzini3
1Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing - National Research Council, (CNR-STIIMA), Lecco, Italy.
Artificial intelligence in medicine
|April 2, 2024
概括
人工智能 (AI) 通过使用特制推的本体学来帮助糖尿病营养治疗. 这篇评论考察了AI.
科学领域:
- * 医学信息学 医学信息学
- * 人工智能 * 人工智能
- * * 公共卫生 公共卫生
背景情况:
- * 糖尿病影响全球5.37亿人,需要有效的营养治疗.
- *人工智能 (AI) 提供了个性化糖尿病营养管理的潜力.
- *基于本体学的系统可以代表专家知识,提供量身定制的饮食建议.
研究的目的:
- *系统地审查人工智能驱动的糖尿病营养治疗的域本体学.
- * 分析概念化,用户,糖尿病类型,以及这些本体学中的建议.
- * 确定影响决策支持系统采用本体学的因素.
主要方法:
- * 对糖尿病的域本体学的系统文献综述.
- * 在人工智能系统中分析本体结构,内容和应用.
- * 检查临床专家和指导方针在本体学发展中的作用.
主要成果:
- * 在糖尿病本体学中确定了各种概念化和用户目标.
- *发现营养建议的制定方式存在差异.
- * 突出了影响系统采用的本体结构方面.
- *强调了临床专家在本体学创建中的作用以及互操作性的需要.
结论:
- *人工智能驱动的本体学显示出糖尿病营养治疗的前景.
- * 加强本体学互操作性和专家参与对于临床整合至关重要.
- *未来的研究应该集中在协作开发和指导方针集成上,以提供强大的决策支持.
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