Medical data analysis method based on deep learning and its intelligent analyzer

摘要

Disclosed is a medical data analysis method based on deep learning and an intelligent analyzer thereof. Based on deep learning, which can effectively reduce stress in the work of hospital doctors or medical researchers, and can perform scientific analysis on a large amount of medical or medical data and obtain matching analysis results A medical data analysis method and an intelligent analyzer thereof, the core content of which is a model created in a computer by operating a deep convolutional neural network (DEEP Convolution Neural Network, hereinafter referred to as “DCNN”) in deep learning. The model uses a vast amount of medical data to select and optimize model parameters, empowering the processing of large amounts of medical or medical data through the pathological analysis process of a physician or medical researcher who is self-learning a “training” model, Ultimately, it helps physicians to make accurate decisions and effective decisions on large amounts of medical data. The stress in the work of a doctor or medical researcher can be greatly reduced and the work efficiency can be increased. It can free you from the heavy analytical work on the medical or medical data of the doctor or medical researcher, so you can focus more energy on other more important tasks. [Selection] Figure 1