摘要
目的:高效处理医疗大数据,将医疗大数据技术应用于临床,构建临床辅助诊疗平台。方法:采用Hadoop大数据技术框架,分布式计算存储医疗数据;利用人工神经网络模型与方法,开展智能诊疗应用探索。结果:构建了大数据智能辅助诊疗平台的模型。结论:运用Hadoop大数据技术与人工神经网络模型,可构建大数据辅助诊疗平台,实现临床智能辅助诊疗。
Objective： To compute medical big data effectively and apply medical big data technology to clinics, we built a clinical auxiliary diagnosis and treatment platform. Methods： We use Hadoop big data technologT framework to distributed compute and store the medical data. By using artificial neural network models and methods, we try to explore intelligent medical treatment applications.Results： Building the model of big data intelligent auxiliary diagnosis and treatment platform. Conclusion： By using Hadoop big data technology and artificial neural network model, we can not only build large data auxiliary diagnosis and treatment platform, but also implement clinical intelligent assistant diagnosis and treatment.
作者
曾航齐
黄桂新
伍君贤
张武军
ZENG Hang-qi;HUANG Gui-xin;WU Jun-xian(The First Affiliated Hospital,Sun Yat-sen University,Guangzhou 510080,Guangdong Province,P.R.C.)
出处
《中国数字医学》
2018年第9期96-99,共4页
China Digital Medicine
基金
广东省科技计划项目(编号:2017A040405027)
惠州市科技专项资金项目(编号:2015B040010006)
惠州市科技专项资金项目(编号:20161130100209)~~
关键词
医疗
大数据
辅助诊疗
人工神经网络
medical
big data
auxiliary diagnosis and treatment
artificial neural network
