系统管理学报2024,Vol.33Issue(3):667-685,19.DOI:10.3969/j.issn1005-2542.2024.03.009
具有持续使用行为患者择医偏好多样性的就医推荐模型
Medical Recommendation Model Considering Patient Preference Diversity with Persistent Use Behavior
摘要
Abstract
Information explosion makes it difficult for patients to choose a doctor,and it has also limited the efficient use of Internet medical services.In this paper,a study is conducted on an intelligent medical recommendation model that considers the diversity of patient preferences for medical treatment,mainly focusing on the decision-making preferences of patients with sustained usage behavior,such as preferences for doctor service quality,knowledge contribution,electronic reputation,and medical experience,taking into account graded diagnostic and treatment standards when constructing feature variables.Based on the relative quantity,the comprehensive score is calculated by using the entropy weight-TOPSIS multi-index evaluation model,and the score result is used as the target variable,while the support vector regression algorithm optimized by the improved sparrow search algorithm is used to mine the relationship between the feature variable and the target variable,thereby constructing an intelligent medical recommendation model.According to the recommendation model,the comprehensive performance of doctors recommended is better,and the adoption rate of recommendations has also increased.关键词
就医选择/智能推荐/麻雀搜索算法/支持向量回归Key words
medical selection/intelligent recommendation/sparrow search algorithm/support vector regression分类
管理科学引用本文复制引用
杜刚,黄莉媛,徐兴娟..具有持续使用行为患者择医偏好多样性的就医推荐模型[J].系统管理学报,2024,33(3):667-685,19.基金项目
国家自然科学基金面上项目(72072056,71772065) (72072056,71772065)
重庆市自然科学基金面上项目(CSTB2023NSCQ-MSX0552) (CSTB2023NSCQ-MSX0552)
中央高校基本科研业务费项目华东师范大学人文社会科学青年跨学科创新团队项目(2021QKT007) (2021QKT007)