基于多目标规划的成年炎症性肠病患者健康膳食推荐模型研究
Study on Healthy Dietary Recommendation Model for Inflammatory Bowel Disease Patients Based on Multi-objective Planning
背景 膳食是炎症性肠病（IBD）患者健康管理的关键部分，构建健康膳食推荐模型有助于为IBD患者提供工具，有助于膳食管理和疾病康复。目的 构建成年 IBD 患者健康膳食推荐模型并初步验证。方法 2023 年9月成立研究小组，采用文献研究和德尔菲专家咨询法明确 IBD 患者推荐营养素种类及摄入量，筛选具有抗炎或促炎特性的营养素，采用食物 - 频次矩阵方法识别患者膳食偏好，在此基础上利用多目标优化算法和协同过滤算法建立成年IBD 患者健康膳食推荐模型。采用目的性抽样和最大差异抽样，于 2023 年 12 月选取在南京中医药大学附属南京中医院 IBD 中心就诊的 20 例成年 IBD 患者，运用该模型采用多目标粒子群算法和协同过滤算法为 IBD 患者推荐个性化膳食种类和摄入量，据此验证模型可行性和科学性。结果 成年 IBD 患者健康膳食推荐模型需同时满足营养需求、辅助治疗和膳食偏好三大目标。营养需求主要考虑能量、蛋白质、膳食纤维、维生素 D、钙和铁 6 个指标，辅助治疗从膳食纤维、维生素 A、维生素 C、维生素 E、硒、镁和锌等 7 类抗炎营养素和能量、脂肪、蛋白质和铁等 4 大促炎营养进行综合考量，算法求解得出符合 20 例 IBD 患者膳食偏好的个性化膳食推荐方案。验证结果显示该模型食物种类推荐平均准确率为 95.5%，营养素平均误差为 12.60%。结论 该研究构建的成年IBD患者健康膳食推荐模型准确有效，有助于提升IBD膳食管理精细化。
Background Diet is a critical component of health management for patients with inflammatory bowel diseaseIBDand modeling healthy dietary recommendations can help provide patients with tools to aid in dietary management and disease recovery. Objective To construct and validate a healthy dietary recommendation model for adult patients with IBD. Methods A research group was set up to clarify the recommended nutrient groups and intakes for IBD patients using literature research and Delphi expert consultation methodto screen nutrients with anti-inflammatory or pro-inflammatory propertiesto identify patients' dietary preferences using food-frequency matrix methodand to establish a model for recommending healthy diets to patients with IBD using multi-objective optimization algorithms and collaborative filtering algorithm. Using purposive sampling and maximum variation sampling20 IBD adult patients were selected from a tertiary hospital in Nanjing in December 2023and the model was applied to recommend personalized dietary types and intake for IBD patients using a multi-objective particle swarm algorithm and collaborative filtering algorithm to validate the model's feasibility and scientificity. Results The model of healthy dietary recommendations for IBD adult patients needs to meet the three main goals of nutritional needscomplementary therapies and dietary preferences at the same time. Nutritional requirements are mainly considered in six indicatorsenergyproteindietary fibervitamin Dcalcium and ironadjuvant therapy is based on the comprehensive consideration of seven anti-inflammatory nutrients such as dietary fibervitamin Avitamin Cvitamin Eseleniummagnesium and zincas well as the four major pro-inflammatory nutrients such as energyfatprotein and ironand algorithmic solving results in a personalized dietary recommendation plan in line with the dietary preferences of the 20 patients with IBD. The validation results showed that the average accuracy of the model's food group recommendations was 95.5%and the average nutrient error was 12.60%. Conclusion The model of healthy dietary recommendations for IBD adult patients constructed in this study is accurate and effective and helps to improve the refinement of IBD dietary management.
尹婷婷、徒文静、柏亚妹、黄丽娜、李伊婷、徐桂华
医药卫生
炎症性肠病膳食，健康膳食推荐模型构建多目标规划
尹婷婷,徒文静,柏亚妹,黄丽娜,李伊婷,徐桂华.基于多目标规划的成年炎症性肠病患者健康膳食推荐模型研究[EB/OL].(2025-02-12)[2025-03-14].https://chinaxiv.org/abs/202502.00067.点此复制
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