基于K-means聚类的老年人养老服务需求识别
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(滨州医学院卫生管理学院 烟台 264003)

作者简介:

张馨月,硕士研究生;通信作者:孔杨,博士,教授。

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基金项目:

国家自然科学基金项目(项目编号:72274023);国家级大学生创新创业项目(项目编号:202310440105);山东省社会科学规划研究项目(项目编号:22CGLJ01)。


Identification of Elderly Care Service Needs Based on K-means Clustering
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(School of Health Management, Binzhou Medical College,Yantai 264003,China)

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    摘要:

    目的/意义 精准识别老年人养老服务需求,为调整养老服务供给提供参考。方法/过程 利用八爪鱼采集器在网络平台收集养老服务需求相关文本数据1 624条,运用K-means算法进行聚类分析,确定最佳聚类数量;结合词云图分析结果,精准识别各类养老需求。结果/结论 养老服务需求分为医疗照护类、生活照料类、预防保健类、精神慰藉类、环境安全类5个方面。政府、社会组织、医疗机构和养老机构等应对现有资源进行分类整合,通过政策引导、专业培训、社会动员等多种途径,协同构建全方位、多层次的养老服务体系,以满足老年人养老需求。

    Abstract:

    Purpose/Significance To accurately identify the needs of elderly care services, and to provide references for adjusting the supply of elderly care services. Method/Process The Octopus collector is used to collect 1 624 pieces of text data related to the needs of elderly care services on the network platform, and cluster analysis is carried out by K-means algorithm to determine the optimal number of clusters. Combined with the results of word cloud analysis, various needs for elderly care are accurately identified. Result/Conclusion The demands for elderly care services are divided into 5 categories:medical care, life care, preventive health care, spiritual comfort, and environmental safety. In order to meet the needs of the elderly, it is necessary for the government, social organizations, medical institutions and elderly care institutions to classify and integrate existing resources, and jointly build a comprehensive and multi-level elderly care service system through policy guidance, professional training, social mobilization and other means.

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张馨月,宋泽宇,田晓伟,等.基于K-means聚类的老年人养老服务需求识别[J].医学信息学杂志,2025,46(2):42-47

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  • 最后修改日期:2024-07-30
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  • 在线发布日期: 2025-03-07
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