基于深度神经网络的智能诊断预测模型研究  

Study on an Intelligent Diagnosis and Prediction Model Based on Deep Neural Network

作　　者：李民[1] 马良玉 姚智[1] LI Min;MA Liangyu;YAO Zhi(Nantong First People’s Hospital(The Second Affiliated Hospital of Nantong University),Nantong 226001,China)

机构地区：[1]南通市第一人民医院(南通大学第二附属医院),南通226001

出　　处：《医学信息学杂志》2022年第8期52-55,75,共5页Journal of Medical Informatics

基　　金：国家自然科学基金面上项目“基于真实世界数据的2型糖尿病发生风险预测模型的创建及效用评价”(项目编号:81971708)。

摘　　要：提出一种基于深度神经网络语言模型的诊断预测框架,在南通市第一人民医院医疗数据基础上进行实验并分析结果,指出该框架能够有效提高诊断预测的准确率。A diagnosis and prediction framework based on Deep Neural Network(DNN) language model is proposed,and the experimental results are analyzed based on the medical data of Nantong First People’s Hospital.It is pointed out that the framework can effectively improve the accuracy of diagnosis and prediction.

关 键 词：临床决策支持系统 诊断预测 深度学习 

分 类 号：R-058[医药卫生]