Wang Xu-Wen, Weiss Scott T, Hu Frank B, Liu Yang-Yu
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eur J Clin Nutr. 2025 Aug 13. doi: 10.1038/s41430-025-01655-5.
Various diet scores have been developed to assess compliance with dietary guidelines. Yet, enhancing those diet scores is very challenging. Here, we tackle this issue by formalizing an optimization problem and solving it with simulated annealing. Our optimization-based dietary recommendation (ODR) approach, evaluated using Diet-Microbiome Association study data, provides efficient and reasonable recommendations for different diet scores. ODR has the potential to enhance nutritional counseling and promote dietary adherence for healthy eating.
已经开发了各种饮食评分来评估对饮食指南的遵守情况。然而,提高这些饮食评分非常具有挑战性。在此,我们通过将一个优化问题形式化并用模拟退火算法解决它来处理这个问题。我们基于优化的饮食推荐(ODR)方法,使用饮食 - 微生物组关联研究数据进行评估,为不同的饮食评分提供了有效且合理的建议。ODR有潜力加强营养咨询并促进健康饮食的饮食依从性。
Eur J Clin Nutr. 2025-8-13
Cochrane Database Syst Rev. 2021-8-13
Dan Med J. 2013-3
Cochrane Database Syst Rev. 2023-1-9
Cochrane Database Syst Rev. 2013-2-28
Cochrane Database Syst Rev. 2024-12-20
Cochrane Database Syst Rev. 2016-10-13
Cochrane Database Syst Rev. 2016-8-22
Arch Ital Urol Androl. 2025-6-30
Nat Med. 2023-3
Cell Host Microbe. 2019-6-12
J Hum Nutr Diet. 2014-4
Public Health Nutr. 2014-8
Science. 1983-5-13
J Appl Physiol (1985). 2005-1