Symptoms based disease diagnosis and treatment recommendation

Abstract

Health is the most important aspect of a person’s life. One needs to maintain their health if they wish to be happy. It is said that only a healthy body can have a healthy mind, which has a positive impact on an individual’s performance. Research suggests that a healthy person is more likely to lead a successful life than someone who is unhealthy or not conscious about their health. But even healthy individuals tend to fall sick due to various reasons. The most trusted and reliable means by which a sick person gets their health check-ups, diagnosis of disease, and recommendation for its treatment all over the world are hospitals. Numerous treatments are available for various diseases, but no single person can possibly know about all the diseases and their various treatments. Therefore, the issue is that there’s no place where we can get the details of the diseases and their treatments. What if there’s a place where one can find their health issues by just entering their symptoms and get recommendations for treatment as well? This will enable people to find out the cause of their problem and get a solution without having to visit a doctor. This research proposes an idea of developing a system that can eliminate the tedious process of visiting hospitals and making appointments with a doctor to get treatment. It intends to apply the various concepts of NLP and machine learning for building a chatbot application. People will be able to interact with the chatbot application as they do with other human beings, and through a series of queries, the application will try to predict the disease and recommend treatment for it. The proposed system will be immensely useful to people as they will be able to conduct their daily health check-ups, it will make people aware of the status of their health, and motivate people to take proper measures to be healthy, absolutely free of cost.