使用MVC的设计模式结合SSH框架进行数据和服务之间的连接。通过医疗数据挖掘可以对患者信息及各项生理指标进行定量分析。采用向量机理论结合回归分析，建立线性相关模型和回归方程，进行参数估计和模型检验，经过休整后输出模型。并使用向量表对SVM分类模型进行训练，对测试数据进行预测。通过数据挖掘揭示病情的变化规律和发展趋势，并画出散点图。对现存的中医核心处方进行数据归纳和整理，建立核心处方和病情之间的关联。%Using the MVC design pattern framework combining SSH connection data and services.Mining can and physiological indexes of information for quantitative analysis of patients by medical data.Vector theory with the use of regression analysis, linear correlation and regression model, parameter estimation and model checking,after the break-output model.And use the scale SVM classification model training,test data for prediction.Through data mining reveals variation and disease trends,and draw a scatter plot.Chinese medicine prescription to the existing core data summarize and organize,in association between core prescription and disease.
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