Clinical support system based on deep learning and decision support method using the system

摘要

The present invention relates to a clinical support system and a prescription support method using deep learning. The diagnostic prediction method of the deep learning-based clinical support system according to the present invention obtains the numerical value of the influencing factor according to the personalized drug administration for each disease, and uses the graphed numerical value to determine the order and interval of the influencing element according to a predetermined criterion generating the first image data by continuously arranging them; using the generated first image data to train a neural network model to learn a relationship between individual signs of improvement or deterioration according to the drug; and predicting the drug administration efficacy and side effects information of the user by using the learned neural network model. According to the present invention, it is possible to support telemedicine and prescription according to various patients and diseases. In addition, it is possible to overcome limitations due to the lack of medical infrastructure and support the efficiency of medical resources.