基于模糊神经网络分类器的医疗大数据研究

Research on Medical Big Data Based on Fuzzy Neural Network Classifier

本文针对医疗大数据,使用模糊神经网络分类器进行数据分析处理。人工神经网络能够训练大规模的数据,而模糊系统可以对不确定的信息进行高效的分类处理。结合两者的优点,根据医疗数据对医生的临床诊断,提供最优的治疗方案。通过仿真实验对数据进行分类处理,证明该方法得到良好的实验结果。

This article mainly focuses on medical big data to make processing analysis by using fuzzy neural network classifier. The artificial neural network can handle large amounts of data, and fuzzy system can make efficient classification for uncertain information processing. Combining with the advantages of both, the optimal treatment plan is provided according to the medical data for the clinical diagnosis of doctor. Through the simulation experiments to deal with the data classification, the result proves that this method can get desired results.