个性化灵活的饮食计划对于与饮食相关的健康问题的人:系统设计和可行性验证研究
Maryam Amiri1, Juan Li1, Wordh Hasan1
1Department of Computer Science, North Dakota State University, Fargo, ND, United States.
JMIR formative research
|August 3, 2023
概括
这项研究开发了一个人工智能驱动的餐饮计划器,以创建个性化的健康餐饮计划. 该系统考虑了健康状况,营养和偏好,为通过饮食来管理慢性疾病提供了可行的解决方案.
科学领域:
- 人工智能在健康中的作用
- 个性化的营养 个性化的营养
- 计算健康信息学 计算健康信息学
背景情况:
- 慢性疾病对全球健康构成重大挑战,需要有效的饮食管理.
- 个性化的餐饮计划是复杂的,需要考虑健康,营养,口味,成本和时间.
- 需要可访问,负担得起和量身定制的餐饮计划解决方案.
研究的目的:
- 设计一个由人工智能 (AI) 驱动的餐饮计划器.
- 根据个人的健康状况,偏好和状态,制定个性化的健康饮食计划.
主要方法:
- 集成的语义推理,模糊逻辑,启发式搜索和多标准分析.
- 开发了一个基于食品和营养的本体学知识库.
- 用于饮食指南的语义规则和营养数据的模糊逻辑,用启发式搜索和多标准决策来选择餐点.
主要成果:
- 一个移动应用程序原型被开发和评估.
- 该系统成功地生成了个性化的饮食计划,考虑了健康,营养和偏好.
- 用户研究表明,用户对系统的可用性和功能普遍满意.
结论:
- 一个人工智能驱动的餐饮计划器成功设计,证明了可用性和可行性.
- 该系统通过整合影响食物选择的多个因素,有效地创建了优化的饮食计划.
- 未来的工作应该解决诸如动态实时更新等局限性,以加强个性化的营养支持.
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