基于K-Means聚类算法和神经网络的药物使用模型

A Drug Model Based on K-Means Cluster Analysis and Neural Network

采用K-Means聚类算法和神经网络算法,对药物的使用进行建模,通过模型可得到不同临床特征病人更适合服用何种药物的建议结果,正确率高达94.7%,实现用药的合理化。

Uses K-Means cluster analysis and neural network of data mining to model the using of drug. Through the model, we can obtain more suitable and appropriate advice to choice which drugs in different features patients. The model accuracy rate is up to 94.7%. It will provide rational- ization of using drugs.