首页|具有持续使用行为患者择医偏好多样性的就医推荐模型

具有持续使用行为患者择医偏好多样性的就医推荐模型

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
信息爆炸导致患者择医难,也限制了互联网医疗服务高效发挥作用.围绕考虑患者择医偏好多样性的智能就医推荐模型展开研究,重点关注具有持续使用行为患者的择医决策偏好特征,如对医生服务质量、知识贡献量、电子口碑、诊疗经验的偏好等,并将分级诊疗标准纳入考虑,构建特征变量.同时,以相对地位量数为基础,通过熵权-TOPSIS多指标评价模型计算综合评分,将评分结果作为目标变量,并利用改进麻雀搜索算法优化的支持向量回归算法挖掘特征变量与目标变量间的数据关系,从而构建智能就医推荐模型.根据该推荐模型所推荐的医生综合表现较好,推荐采纳率也有所提高.
Medical Recommendation Model Considering Patient Preference Diversity with Persistent Use Behavior
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.

medical selectionintelligent recommendationsparrow search algorithmsupport vector regression

杜刚、黄莉媛、徐兴娟

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华东师范大学重庆研究院 精密光学重庆市重点实验室,重庆 401120

华东师范大学 经济与管理学院,上海 200062

就医选择 智能推荐 麻雀搜索算法 支持向量回归

国家自然科学基金面上项目国家自然科学基金面上项目重庆市自然科学基金面上项目中央高校基本科研业务费专项华东师范大学人文社会科学青年跨学科创新团队项目

7207205671772065CSTB2023NSCQ-MSX05522021QKT007

2024

10.3969/j.issn1005-2542.2024.03.009

系统管理学报
上海交通大学

系统管理学报

CSTPCD北大核心
影响因子：1.033
ISSN：1005-2542
年,卷(期)：2024.33(3)
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