| 基于图嵌入的个性化心力衰竭管理运动处方推荐系统构建 |
| 修订日期：2022-12-21 点此下载全文 |
| 引用本文：张珂,鲍婷,吴蓉蓉,等.基于图嵌入的个性化心力衰竭管理运动处方推荐系统构建[J].医学信息学杂志,2023,44(6):72-78 |
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| 基金项目:国家自然科学基金项目(项目编号:32270690)。 |
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| 中文摘要:目的/意义 促进心力衰竭(heart failure,HF)管理运动训练的临床实践。方法/过程 系统分析并整合相关文献、临床指南及专家共识,构建HF与运动训练知识图谱(knowledge graph,KG)。基于该KG,采用快速随机投影算法和K-邻近算法,构建图嵌入的推荐模型和个性化HF管理运动处方推荐系统。结果/结论 HF与运动训练的KG共包括2 703个实例和25 161条关系。基于该KG,图嵌入的个性化推荐系统可提供安全、有效、多样的运动处方推荐。 |
| 中文关键词:心力衰竭 运动处方 医学知识图谱 图嵌入 推荐系统 决策支持 |
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| Construction of a Graph Embedding Recommendation System for Personalized Exercise Prescription in Heart Failure Management |
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| Abstract:Purpose/Significance To promote the clinical practice of exercise training intervention in the management of heart failure (HF). Method/Process The relevant literatures, clinical guidelines, and expert consensus are systematically analyzed and integrated, and a knowledge graph (KG) of HF and exercise training is constructed. Based on the KG, a graph embedding recommendation model and a personalized exercise prescription recommendation system for the management of HF are constructed by using the fast random projection algorithm and the K-nearest neighbors algorithm.Result/Conclusion In total,the KG of HF and exercise training includes 2 703 instances and 25 161 relations. Based on the KG, the graph-embedded personalized recommendation system provides safe, effective, and diverse exercise prescription recommendations. |
| keywords:heart failure (HF) exercise prescription medical knowledge graph (KG) graph embedding recommendation system decision support |
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