The paper selects liver cirrhosis data from Electronic Medical Records(EMR) of Traditional Chinese Medicine(TCM) as data source, builds up a tuple consisting of pathogenic indicators and diagnosis results by means of data cleansing and Principal Component Analysis(PCA), and then compares forecasting results through neural networks and Support Vector Machine(SVM) classifier model to prove feasibility of such a method.