Analysis of Drugs using Machine Learning

Peoples are dependent on medicinal drugs for their day-to-day life. People depend on drugs for very small reasons like headaches, colds etc. Many drugs have its own side effect on a person’s body. Large number of people consume drugs without physician prescription and get affected. To avoid such problems drug review is very important and useful for providing vital medical care information. This information is very useful not only for healthcare professionals but also for consumers. Customers are using online review to tell their experiences and opinion on the drugs that they have experienced. However, many times who want to buy that medicine find it very hard to go through all these comments before buying a medicine. Predicting side effects is an necessary topic to create new drugs. Many machine learning algorithm are able to predict side effects but yet there is always space for improvement. Firstly, we will adapt the multi-label learning technique as side effect prediction is a multi-label learning technique. Because of these reasons, this paper primarily helps to classify at what level drugs can effect human body by using different machine learning models.