Application of Privacy Computing in the Field of Intelligent Healthcare
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.