摘要
目的:通过大数据挖掘分析技术,基于电子病历大数据,研究分析中医药治疗在大肠癌治疗方案中的有效性。方法:以上海地区三甲医院的电子病历数据为基础,针对上海地区大肠癌患者的治疗方案进行分析。结果:上海地区大肠癌患者的证型分布主要为脾虚气滞,脾肾阳虚,肾精亏虚,气血两虚和湿热蕴结;大肠癌患者采取中医药治疗能够改善长期生存,降低复发转移率。结论:研究证实了上海市大肠癌中医药参与度较高的事实,明确了中医药治疗大肠癌延长患者生存、降低复发转移、提高综合疗效的优势。
Objective: Through the big data mining and analysis technology, based on the big data of the electronic medical record, to study and analyze the effectiveness of Chinese medicine treatment in colorectal cancer treatment plan. Methods: Based on the electronic medical record data of Shanghai 3A hospital, the treatment plan of colorectal cancer in Shanghai area was analyzed. Results: The main syndromes of large intestine cancer in Shanghai were spleen qi stagnation, spleen and kidney yang deficiency, kidney essence deficiency, qi and blood two deficiency and damp heat, and Chinese medicine treatment could improve the long-term survival and reduce the recurrence and metastasis rate. Conclusion: The study confirmed the fact that the participation of Chinese medicine in large intestine cancer in Shanghai was high, and the advantages of traditional Chinese medicine to prolong the survival of large intestine cancer patients, reduce the recurrence and metastasis, and improve the comprehensive curative effect.
出处
《中国数字医学》
2018年第10期92-94,共3页
China Digital Medicine
基金
国家高技术研究发展计划(863计划)-心血管疾病与肿瘤疾病中西医临床大数据处理分析与应用研究(编号:2015AA020107)
上海市卫生和计划生育委员会中医药科技创新项目-基于互联网的心衰患者健康管理系统(编号:ZYKC201601013)
面向大数据交易的数据质量评估方法
工具在医疗领域的应用示范(编号:16511101003)~~
关键词
倾向评分匹配
COX多因素分析
电子病历大数据分析
中医药疗效分析
propensity score matching
COX multifactor analysis
big data analysis of electronic medical records
curative effect analysis of traditional Chinese medicine