| 摘要: |
| 目的：探讨经方治疗晚期肺癌的辨治规律及处方用药。方法：收集中国知网（CNKI）中运用经方治疗晚期肺癌的病案，通过Medcase V5.2仓公诊籍国医脉案数据记录挖掘系统，运用频数分析与关联规则分析，从临床症状、舌象、脉象、病机、处方用药等多方面对经方治疗晚期肺癌的病案进行数据挖掘。结果：晚期肺癌的主要临床表现有咳嗽、疲倦乏力、食欲不振、胸闷、易醒、入睡困难等；频数较高的舌象有舌质暗红、舌质红、舌质淡红、舌质淡、苔薄白、苔黄腻；频数较高的脉象有细、弦、滑、沉、数、弱；病机主要为癌毒郁肺、肺脾气虚、肺失宣肃、肝郁化火、痰热壅肺、水饮停肺；常用药物有茯苓、法半夏、炙甘草、大枣、桂枝、柴胡等；通过关联规则分析，得到30组关联症状、28组关联病机、30组病机与临床症状关联。结论：应用数据挖掘法能够反映经方治疗晚期肺癌的辨治规律，具有一定的临床指导意义。 |
| 关键词: 晚期肺癌 经方 辨治规律 数据挖掘 |
| DOI： |
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| Rule of classical prescriptions in syndrome differentiation-based treatment of advanced lung cancer:A study based on data mining |
| ZHAO Ding,LIU Jie,MA Jinfeng |
| (Yancheng Hospital of Traditional Chinese Medicine Affiliated to Nanjing University of Chinese Medicine/Yancheng Municipal Hospital of Traditional Chinese Medicine，Yancheng 224000，Jiangsu，China) |
| Abstract: |
| Objective: To investigate the rule，prescription，and medication of classical prescriptions in the syndrome differentiation-based treatment of advanced lung cancer.Methods: CNKI was searched to obtain the medical records of advanced lung cancer treated with classical prescriptions.Medcase Recording System V5.2 was used for data mining，and frequency analysis and association rule analysis were used to analyze the medical records of advanced lung cancer treated with classical prescriptions in terms of clinical symptoms，tongue manifestation，pulse manifestation，pathogenesis，and prescription medications.Results: The main clinical manifestations of advanced lung cancer included cough，fatigue and weakness，loss of appetite，chest distress，festless sleep，and difficulty falling asleep.Tongue manifestations with a relatively high frequency included dark-red tongue，red tongue，light-red tongue，pale tongue，white and thin coating of the tongue，and slimy yellow tongue fur.Pulse manifestations with a relatively high frequency included thready pulse，stringy pulse，slippery pulse，deep pulse，rapid pulse，and weak pulse.The main pathogeneses included cancer toxin stagnation in lungs，Qi deficiency of lung and spleen，failure of the lungs to regulate diffusion and purification，liver depression transforming into fire，phlegm-heat obstructing the lung，and collection of water-rheum in lungs.Commonly used drugs included Poria cocos，Rhizoma Pinelliae Praeparatum，Radix Glycyrrhizae Preparata，jujube，Ramulus Cinnamomi，and Bupleurum chinense.The association rule analysis obtained 30 groups of associated symptoms，28 groups of associated pathogeneses，and 30 groups of associations between pathogeneses and clinical symptoms.Conclusion: The method of data mining can reflect the rule of classical prescriptions in the syndrome differentiation-based treatment of advanced lung cancer and thus has a certain significance in clinical guidance. |
| Key words: advanced lung cancer classical prescription rule of syndrome differentiation-based treatment data mining |
