摘要
该文利用和软件对原始数据进行了数据挖掘,补充缺失的内容;并利用、两步聚类的方法对补充后相关数据的中药的分布情况进行了分析;最后在分析结果的基础上,再综合考虑时间季节和空间距离两种因素的影响,为呼吸道感染患者提供一个采集新鲜中药止咳的科学方案。
he paper mines the primary data by using the SPSS and Excel thus supplementing the missing contents and analyzes the Chinese medicines distribution by using the K-Means and two-step clusters,finally,considers the effect of season and space distance comprehensively on the basis of the analysis results thus providing a scientific program of collecting the fresh herbal cough relieving for respiratory tract infection patients.
作者
陈敏
孔腾
史秋喜
杨文国
CHEN Min;KONG Teng;SHI Qiu-xi;YANG Wen-guo(Information Technology School,Nanjing University of TCM,Nanjing,Jiangsu Province,210023 China)
出处
《系统医学》
2017年第14期116-119,共4页
Systems Medicine
关键词
数据挖掘
聚类
两步聚类
新鲜中药止咳
Data mining
K-Means cluster
Two-step cluster
Fresh herbal cough relieving