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

作　　者：龚彦 丁黎明 陈启莲 罗乙友 Gong Yah;Ding Liming;Chen Qilian;Luo Yiyou(Hunan University of Medicine,Huaihua Hunan 418000,China;Huaihua University,Huaihua Hunan 418000,China;Central South University,Changsha Hunan 410083,China)

机构地区：[1]湖南医药学院,湖南怀化418000 [2]怀化学院,湖南怀化418000 [3]中南大学,湖南长沙418083

出　　处：《山西电子技术》2018年第4期86-88,93,共4页Shanxi Electronic Technology

摘　　要：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.

关 键 词：医疗大数据 模糊神经网络 分类 数据处理 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]