摘要
在海量的LIS数据中隐藏着许多重要信息，数据挖掘技术可以从多个维度的信息中找到有效的数据，为临床诊疗提供信息支持。本文描述了大数据时代下的检验医学的特征，并分析了数据挖掘在检验医学中应用前景。
A lot of important information were hidden in mass LIS data. Data mining technology can find useful data from multiple dimensions, providing information support for clinical diagnosis and treatment. This paper described the newly gained features of the laboratory medicine in the era of big data and analyzed the potential application of data mining in laboratory medicine.
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2015年第12期888-890,共3页
Chinese Journal of Laboratory Medicine
关键词
数据挖掘
医学检验科学
癌胚抗原
聚类分析
Data mining
Medical laboratory science
Carcinoemhryonic antigen
Cluster
