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基于专利数据挖掘的我国智慧健康服务发展趋势研判

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为响应"健康中国"建设号召,文章以专利数据为依据揭示我国智慧健康服务领域当前的研究热点,探索智慧健康服务领域发展趋势。以Innojoy专利数据库中的智慧健康相关数据为数据来源,通过LDA模型对原始语料进行主题识别提取,运用主题强度计算公式得出热点主题进行分析。智慧健康服务处于发展的平稳时期,并向着多技术融合、多部门联合的方向发展,现阶段共有智慧医疗大数据服务平台、智慧健康信息服务平台、智慧医疗设备、智慧医疗文本处理系统四大研究热点。今后智慧健康服务的发展应以用户为中心,提供供需适配的服务,且需不断完善相关法律法规以创造一个规范有序的发展环境。
Research on the Development Trend of Chinese Intelligent Health Services Based on Patent Data Mining
In order to respond to the call for the construction of"Healthy China",this paper reveals the current research hotspots in the field of intelligent health services in China based on patent data,and explores the development trend of intelligent health services field.The intelligent health related data in Innojoy patent database is taken as the data source,and the original corpus is extracted for topic recognition by LDA model.It applies the topic intensity formula to derive hot topics and analyzes them.The intelligent health services is at a plateau of development,and is moving towards multi-technology convergence and multi-sectoral integration.The intelligent medical Big Data service platform,intelligent health information service platform,intelligent medical equipment,and intelligent medical text processing system are the four research hotspots at present.The development of intelligent health services should be user-centered,providing services that match supply and demand,and it also need to continuously improve relevant laws and regulations to create a standardized and orderly development environment.

patent datadata miningLDA topic modelintelligent health services

陈天怡

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湘潭大学 公共管理学院,湖南 湘潭 411105

专利数据 数据挖掘 LDA主题模型 智慧健康服务

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(8)
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