Abstract
In the recent years, more and more fields around the development and application of artificial intelligence have received new improvements and breakthroughs. Among them, drug design and classification are one of the most popular application areas which can provide the greatest help to the society. According to statistics, the number of newly listed drugs in the world is decreasing year by year. At the same time, the risks and costs of drug development are increasing year by year which illustrates a different trend compared with the newly listed drugs. In this case, the application of artificial intelligence technology provides a new idea and opportunity to solve the problem of drug design and classification with higher accuracy than human work. This paper aims to do a research based on using machine learning models to produce suitable outcomes for patients of different drug types in order to reduce the working pressure of doctors in the hospitals.
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