计算机应用研究2017，Vol.34Issue(4)：1089-1092,4.DOI:10.3969/j.issn.1001-3695.2017.04.030
医疗体检数据预处理方法研究
Research on preprocessing methods for medical examination data
摘要
Abstract
The original physical examination data has many problems,including ambiguity,noise,incomplete and redundancy information,so it cannot be used for disease risk assessment and prediction directly.Traditional processing methods are not suitable for physical examination data because of its special structure and format.In order to solve these problems and make full use of the valuable information in the data,this paper proposed several methods.It used a compression-based data reduction method to reduce the time and space complexity of the data,and used a field matching algorithm based on segmentation and weights to complete the data cleaning and solved the problem of inconsistency.It used a data transformation method based on linear function to get the consistency and continuity of the history data.It also proves that the proposed filed matching algorithm is more accurate than the traditional method.关键词
体检数据/预处理/字段匹配算法/数据归约/数据清洗/数据变换Key words
physical examination data/data preprocessing/field matching algorithm/data reduction/data cleaning/data transformation分类
信息技术与安全科学引用本文复制引用
林予松,王培培,刘炜,李润知,王宗敏..医疗体检数据预处理方法研究[J].计算机应用研究,2017,34(4):1089-1092,4.基金项目
河南省重点科技攻关项目(152102210249) （152102210249）
