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

摘要

Disclosed is a method for analyzing medical data based on deep learning which is capable of effectively reducing work load of doctors or medical researchers in hospitals and is capable of scientifically analyzing masses of medical treatment or medical data and acquiring an analysis result matching the data, and an intelligent analyzer thereof. The core idea of the method and the intelligent analyzer according to the present invention is to establish a model in a computer by using the deep convolution neural network algorithm in the deep learning. This model selects and optimizes the model parameter by using the masses of medical data, and automatically learns the pathological analysis course of the doctors and medical researchers by means of a "training" model and hence helps them to process the masses of medical treatment or medical data. Under the assistance, finally the doctors make correct judgments and effective decisions with respect to the masses of medical data. The present invention may greatly reduce the work load of the doctors or medical researchers, and improve the working efficiency thereof. According to the present invention, the doctors or medical researchers may be relieved from the overloaded medical treatment or medical data analysis work, such that they contribute much to more important work.