I. Introduction
In recent years, the Artificial Intelligence (AI for short here-after) industry has developed vigorously. As the core branch of AI, machine learning has penetrated into all walks of life, and has also set off a wave in the medical field [1]. The main method of machine learning is to recognize the input data sets through the computer, encode them into the computer model or algorithm, and test and verify them on the new data. The ability to collect and analyze large datasets related to medical treatments and outcomes promises to transform medicine into a data-driven, outcomes-oriented discipline with profound implications for disease detection, diagnosis, and treatment [2].