隐私算法在智能医疗中的应用  

Application of Privacy Computing in the Field of Intelligent Healthcare

作　　者：徐松林 XU Songlin(INESA Intelligent Tech Inc.Shanghai 200233,China)

机构地区：[1]云赛智联股份有限公司,上海200233

出　　处：《电子技术（上海）》2024年第6期395-397,共3页Electronic Technology

摘　　要：阐述隐私计算技术在智能医疗领域中的应用,特别针对心血管领域的十二导联数据展开分析。为了更精准地诊断心率失常,基于残差神经网络创新性地构建一个基于多中心数据训练的心率失常多目标分类模型,同时借助先进的隐私计算技术确保数据隐私和模型参数的安全。This paper expounds the application of privacy computing technology in the field of intelligent healthcare,especially for the analysis of 12-lead electrocardiogram(ECG)data in the field of cardiovascular domain.To enhance the precision of diagnosing arrhythmias,innovatively constructing a"Multi-center Data Trained Arrhythmia Multi-target Classification Model"based on residual neural networks.At the same time,advanced privacy computing technology was utilized to ensure data privacy and model parameter security.

关 键 词：隐私计算 智能医疗 联邦学习 残差神经网络 心率失常 十二导联 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP309[自动化与计算机技术—控制科学与工程]