支持向量机在高血压病中医证候诊断中的应用

发布时间：2018-04-30 01:30

本文选题：支持向量机 + 高血压病　；参考：《中华中医药杂志》2017年06期

【摘要】：目的:探索支持向量机方法在高血压病中医证候诊断中的应用,为高血压病中医证候诊断合理应用提供理论依据。方法:基于MATLAB 7.0环境,采用支持向量机(SVM)学习算法,以常见的21个症状、舌苔及舌体、脉象的量化数据为输入,高血压病证型为输出,建立基于SVM的高血压病中医证候诊断模型,并使用419例样本进行训练,130例样本进行测试。结果:总体准确率为90.0%。结论:基于SVM建立高血压病中医证候诊断模型具有较高准确率和方法学上的可行性。
[Abstract]:Objective: to explore the application of support vector machine (SVM) in the diagnosis of TCM syndromes of hypertension, and to provide theoretical basis for the rational application of TCM syndrome diagnosis of hypertension. Methods: based on the environment of MATLAB 7.0, support vector machine (SVM) learning algorithm was used to input 21 common symptoms, tongue coating, tongue body, pulse image, and hypertension syndrome type as the output. The diagnosis model of TCM syndrome of hypertension based on SVM was established, and 419 samples were used for training and 130 samples were tested. Results: the overall accuracy was 90.0%. Conclusion: the establishment of TCM syndrome diagnosis model based on SVM has high accuracy and methodological feasibility.
【作者单位】：广西中医药大学;广西高校中药制剂共性技术研发重点实验室;广西中医药大学附属瑞康医院;广西南宁建政东社区卫生服务中心;
【基金】：广西中医药管理局课题(No.GZGG13-01) 广西教育厅高校科研课题(No.YB2014191) 广西壮族自治区卫生厅中医药科技专项项目(No.2013S16) 广西高校科技创新能力提升工程专项项目(No.70-ZJGX201404004)~~
【分类号】：R259

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