摘要
医疗行业的发展扩大了医疗数据信息种类与数量,这将直接影响医院医疗水平与服务水平和医院核心竞争力。本文以医疗大数据为研究对象,提出了基于遗传算法的K-means改进聚类方法,并以医疗费用数据为例展开分析,为提高医疗服务质量提供有效数据信息。
With the development of medical industry, the types and quantity of medical data information have been expanded,which will directly affect the medical level and service level of hospitals and its core competitiveness. In this paper, taking medical big data as the research object, we propose an improved K-means clustering method based on genetic algorithm, and take the medical expenses as an example for analysis, so as to provide effective data information for improving the quality of medical service.
出处
《电脑与电信》
2017年第11期34-36,39,共4页
Computer & Telecommunication
