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Analysis of Smart Health Research Context and Development Trend Driven by Big Data

机译：大数据驱动的智能健康研究背景与发展趋势分析

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In the context of new healthcare reform in China, smart health has gradually developed into a necessary link for health service. To comb the research context of smart health based on academic achievements and to explore the development priority of the leading research will help to perfect the theoretical studies and practical applications of smart health. Through Python crawler technology, accessed 922 documents as a data source from CNKI; Using word segmentation, statistical techniques, visualization analysis research context; CiteSpace V software is used to analyze the research profile and development priority from the literature sources, cooperation teams and key words. Through the qualitative analysis of research context and the quantitative analysis of the number of different types of literature, it reveals the process of the development of smart health from the theoretical start, idea formation, practical application, technological progress, cross-border cooperation to the final relatively stable. But found some problems such as underutilization of data, lack of informationization of critical illness, low recognition of family health systems, and problems between government and patients. Therefore, we should strengthen the government's promotion, application stability, hospital data information processing ability, etc. in the development priority. These fore-seeability trend and development context will provide new ideas for theoretical research and make up for the deficiencies in practical application.
机译：在中国新的医疗改革的背景下，智能医疗已逐渐发展成为医疗服务的必要环节。根据学术成果梳理智能健康的研究背景，探索领先研究的发展重点，将有助于完善智能健康的理论研究和实际应用。通过Python搜寻器技术，从CNKI中访问了922个文档作为数据源;利用分词，统计技术，可视化分析研究语境; CiteSpace V软件用于从文献来源，合作团队和关键词分析研究概况和发展重点。通过对研究背景的定性分析和对不同类型文献数量的定量分析，揭示了智能健康发展的过程，从理论起点，思想形成，实际应用，技术进步，跨界合作到最终相对稳定。但是发现了一些问题，例如数据利用不足，严重疾病的信息缺乏，对家庭卫生系统的认识不高以及政府与患者之间的问题。因此，应优先发展政府，加强政府的推广，应用稳定性，医院数据信息处理能力等。这些可预见的趋势和发展背景将为理论研究提供新思路，弥补实际应用中的不足。

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