基于HTML5的肿瘤流行病数据可视化系统实现-中国数字医学.PDFVIP

系统研发与设计 System Development and Design 基于HTML5的肿瘤流行病数据可视化系统实现 ① ＊ ① 张泽 钱庆 何晓琳 摘 要 目的：为恶性肿瘤流行病领域科研人员方便解读数据并识别恶性肿瘤的流行特征，助其开展下一步的干预研究。方 法：使用HTML5、D3.js及ECharts等相关可视化技术。结果：设计实现了基于Web端B/S结构的CEDV系统。结论：CEDV系统从多 个维度对发病数据进行可视化展示，以及对数据的全库有哪些信誉好的足球投注网站功能及动态分析功能。肿瘤流行病学科研人员通过CEDV系统能够 直观完整地把握和理解海量的肿瘤流行病数据，为其后续的科研活动提供方便。 关键词　流行病学 肿瘤 数据可视化 HTML5 大数据 Doi:10.3969/j.issn.1673-7571.2016.04.016 [中图分类号] R319 [文献标识码] A The Realization of Cancer Epidemiology Data Visualization System Based on HTML5 / ZHANG Ze, QIAN Qing, HE Xiao-lin// China Digital Medicine.-2016 11(4): 43 to 47 Abstract Objective: To facilitate the interpretation of the cancer epidemic data well and identify the epidemiological characteristics of malignant tumors in order to carry out the next step of the intervention research. Methods: Using visualization techniques like HTML5, D3.js and ECharts. Results: This paper has developed the Cancer Epidemic Data Visualization system for cancer epidemic data based on Web Portal and B/S framework. Conclusion: The CEDV system has visualized the cancer epidemic data by multiple dimensions and realized the whole database search function and dynamic analysis function so that researchers are able to understand massive tumor epidemiological data to provide convenience for their next research. Keywords epidemiological, tumor, data visualization, HTML5, big data Fund project Union Youth Fund Project of Peking Union Medical College-Research on the Construction of Visualization System Based on HTML5 Cancer Epidemiological Data (No. 3332015055) Corresponding author Chinese Academy of Medical Sciences, Institute of Medical Informatics, Beijing 100020, P.R.C. 20世纪70年代以来，恶性肿瘤的发病率及病死率均呈上升趋势，而在流行病学的基础上研究恶性肿瘤在人群中的分布