基于关联规则的肝癌证候与病位病性的相关性研究

发布时间：2018-04-13 06:12

本文选题：肝癌 + 证候　；参考：《北京中医药大学学报》2017年10期

【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。
[Abstract]:Objective to investigate the correlation between liver cancer syndromes and disease location and disease by using Microsoft association rule algorithm.Methods the clinical epidemiological study was used to collect 1 042 cases of primary liver cancer (PHC), and the data mining system of Medcase V3.2 was used to establish the association rules model of liver cancer syndromes, disease location and disease.The medical records of liver cancer were analyzed.Results right hypochondriac pain, right upper abdominal pain, abdominal distension, abdominal distension, abdominal distention, ascites, yellow eyes, ingested food, fatigue, greasy tongue coating, pulse string and other symptoms were common in liver cancer, closely related to liver, spleen and gallbladder, and related to deficiency of qi, stagnation of qi, blood stasis, and so on.Dampness and other diseases are closely related.Conclusion to some extent, the association rule algorithm is used to reveal the relationship between liver cancer syndromes, disease location and disease, but in view of the fuzziness and complexity of TCM data,It is necessary to improve and develop different algorithms of TCM data mining to better serve TCM clinic.
【作者单位】：南京中医药大学;
【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)~~
【分类号】：R273

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