摘要
目的运用Microsoft关联规则算法探讨肝癌证候与病位、病性的相关性。方法应用临床流行病学研究方法,收集1 042例原发性肝癌病例,采用Medcase V3.2仓公诊籍国医脉案数据记录挖掘系统,建立肝癌证候与病位、病性的关联规则模型,对肝癌病案资料进行分析。结果肝癌以右胁痛、右上腹痛、腹胀、腹膨隆、腹水、目黄、纳呆恶食、倦怠乏力、舌苔腻、脉弦等症状较为常见;与肝、脾、胆等病位密切相关;与气虚、气滞、血瘀、湿等病性密切相关。结论利用关联规则算法在一定程度上揭示了肝癌证候与病位、病性之间的关系,但鉴于中医药数据具有模糊性、复杂性特征,需要不断地完善和开发不同的中医药数据挖掘算法,才能更好地为中医临床服务。
Objective To investigate the correlation between clinical manifestations（ symptoms and signs） and pattern（ disease location and nature） diagnosis in liver cancer based on association rules.Methods 1 042 patients with primary liver cancer were identified by using clinical epidemiological method. Medcase V3. 2 was used to set up the dataset for the analysis of association between manifestations and patterns in liver cancer. Results Clinical manifestations such as right hypochondriac pain,upper right abdominal pain,abdominal distension,abdominal bulge,ascites,jaundice,loss of appetite,fatigue,greasy coating,and wiry pulse were more common in patients with liver cancer. The patterns of primary liver cancer appeared to be located mainly in the ＂liver,spleen,and gallbladder＂,and were closely related to ＂qi deficiency,qi stagnation,blood stasis,and dampness＂. Conclusion Correlation between clinical manifestations and patterns in liver cancer is present based on association rules. Given the ambiguity and complexity of TCM data,different data mining algorithms should be developed and applied to benefit TCM clinical practice.
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2017年第10期876-880,共5页
Journal of Beijing University of Traditional Chinese Medicine
基金
国家自然科学基金青年科学基金项目(No.81503499)
江苏省自然科学基金青年项目(No.BK20161051)~~
关键词
肝癌
证候
病位
病性
关联规则
primary liver cancer
symptoms and signs
location of disease
nature of disease
associationrnles
