通过信息学推进全身健康:对补充和整合性健康知识资源的叙述性审查
Robin R Austin1, Marcelo Fiszman2, Evan Guerra3
1School of Nursing, University of Minnesota, Minneapolis, MN, USA.
The Journal of nutrition
|March 4, 2026
概括
将补充和整合性健康 (CIH) 知识资源与人工智能的整合可以促进个性化的营养和全身健康. 本次审查确定了差距,并提出了信息化战略,以更好地整合和发现数据.
科学领域:
- 综合医学和健康信息学.
- 计算生物学和生物信息学.
- 营养科学和个性化的营养.
背景情况:
- 补充和整合性健康 (CIH) 干预措施对于全身健康至关重要,但缺乏综合证据.
- 关于CIH有效性,安全性和机制的现有知识资源是分散的.
- 数据互操作性的挑战阻碍了CIH研究和应用的进步.
研究的目的:
- 绘制现有CIH知识资源的地图,并确定关键差距.
- 提出人工智能驱动的信息化策略,用于标准化和整合CIH数据.
- 推进精准营养和个性化的健康和福祉方法.
主要方法:
- 进行了公开可用的CIH知识资源的叙述性审查.
- 分类干预措施为营养,身体或心理.
- 分类资源包括知识库,数据集,数据库,本体学,知识图,平台和倡议.
主要成果:
- 确定了47个支持CIH信息的资源 (15个知识库,13个数据库,7个数据集,4个平台,3个倡议,3个本体学,2个知识图).
- 营养干预是最常见的类别 (32个资源),其中13个关注微生物群.
- 大多数确定的资源 (39) 是公开可访问的.
结论:
- 对CIH知识资源的标准化和整合对于推进全身健康至关重要.
- 人工智能和信息学方法,当应用于结构良好的,可互操作的数据时,可以统一各种知识领域.
- 这种融合加速了对补充和整合性健康和个性化营养的科学发现.
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