| 摘 要: 可视化分析可以提高科研人员对数据隐藏信息的洞察力。本文将医学数据源分为普通数据、高维数据、 公共卫生数据、管理数据、评估数据五种类型，分析了每种类型数据的集成转换方法和交互呈现方式。但不容忽视的 是，医学数据可视分析还面临数据不一致、人机交互普及性较差和可视技术不丰富等问题，有待进一步研究和探讨。 |
| 关键词: 医学；大数据；可视分析；研究 |
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中图分类号: TP391.1
文献标识码: A
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| The Visual Analysis Study of Healthcare Big Data |
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JIANG Hui
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( The Department of Computer Teaching, Changzhi Medical College, Changzhi 046000, China)
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| Abstract: With visualized analysis,scientific researchers can improve the insight to hiding information in data.The medical data sources are classified into five different types,including general data,high dimensional data,public health data,management data and evaluation data.The paper analyzes the integration and conversion method and the interaction and presentation method of each type of data.But some noticeable problems still need further studying and probing,such as the inconsistency of data,the low popularity of human-computer interaction,and the inadequacy of visualized technology. |
| Keywords: medicine;big data;visualized analysis;study |
