期刊论文

TCM Syndrome Distribution Frequency and Correlation Analysis on 7435 Cases of Non-small Cell Lung Cancer

中文

中医药导报

1672-951X

2019

25

16

40-44

10.13862/j.cnki.cn43-1446/r.2019.16.010

抗肿瘤中药创制技术湖南省工程研究中心项目（湘发改高技[2015]1085号）； 湖南省自然科学基金（2016JJ4067）； 湖南省科技计划（2016SK2034）“； 一方科研创新项目”（YF201708）；

本校为第一机构

目的:运用数据挖掘技术与方法,分析非小细胞肺癌(non-small-cell lung cancer,NSCLC)住院病案,探讨NSCLC的中医证候分布规律,为临床规范NSCLC的辨证、治疗提供参考.方法:通过对390例NSCLC患者共计7435份NSCLC独立辨证病案进行回顾性调查分析,筛选出NSCLC有关的医案,运用频数统计、聚类分析、主成分分析、关联分析等数据挖掘技术,探索NSCLC的中医证候分布规律.结果:通过对7435份NSCLC病案进行数据挖掘研究,发现NSCLC的中医证候以咳嗽(7281次)、脉细(5667次)、乏力(4987次)、神疲(4432次)、寐差(3644次)、胸痛(3640次)、纳差(3505次)、胸闷(3500次)、苔黄(3428次)、舌红(3377次)、气急(2533次)、舌...

Objective:To analyze the hospitalized cases of non-small cell lung cancer(NSCLC)patients using data mining technology and methods,and to explore the distribution of TCM syndromes of NSCLC,so as to provide reference for clinical standardization of syndrome differentiation and treatment of NSCLC.Methods:Through a retrospective investigation and analysis of a total of 7435 NSCLC independent syndrome cases in 390 patients with NSCLC,the NSCLC-related medical cases were screened out,and the data mining techniques such as frequency statistics,cluster analysis,principal component analysis and correla...