医院临床数据分析智能分类处理技术研究

Intelligent classification and processing of clinical data analysis in hospital

摘要:

针对医院临床数据数量庞大,数据之间关联性大,容易出现数据提取不准确等问题,提出基于模糊分类处理技术的医院临床数据智能分类方法。通过对临床运营各项指标的说明,根据指标分析数据的特性；对医院临床数据进行检索,将检索出来的数据进行提取,根据数据的特点,使用模糊分类的技术对数据进行处理,完成临床数据的智能分类。实验结果表明,所提方法对临床数据的分类效果远远优于传统方法,满足了医院对数据处理的要求,为未来医院大量的数据分类处理奠定了坚实的基础。

Abstract:

In view of the large amount of clinical data in hospital, the large correlation between data and the inaccuracy of data extraction, a method of intelligent classification of hospital clinical data based on fuzzy classification processing technology is proposed. According to the clinical operation indicators, according to the analysis of the characteristics of the data index; retrieval of hospital clinical data, will retrieve the data were extracted according to the characteristics of data used for data processing of fuzzy classification technology, complete clinical data of intelligent classification. The experimental results show that the proposed method classification results for clinical data is far superior to the traditional method, meets the requirement of data processing for the future hospital hospital, a large amount of data classification has laid a solid foundation.