Disease Prediction Using Machine Learning Techniques

Health is the most important in every human's life. Weekly or monthly check up of one's health is most important for the prevention and also to stay healthy. Healthcare is the most crucial parts of the human life. Nowadays, so many are not willing to go to hospital, due to work overload and negligence of their health. The doctors and nurses are putting up maximum efforts to save people's lives without even considering their own loves. There are also some villages which lack medical facilities. Nowadays, the individual is not having that much time to go for health check-up. Recently, due to covid-19, no one is willing to go to hospital for health checkup due to the fear of spreading virus. In this situation, technology plays and important role. The domain we used here is Machine Learning, it is the technique by which machines can learn from past experiences like a human being and make it efficient in future. ML is the domain which is widely used nowadays and it is the most efficient domain in health care. We will develop a GUI to get the symptoms from the user. The models used in this paper are Naive Bayes and Decision Tree. The output is the disease, the accuracy of model, its definition and the treatment of the particular disease based on the symptoms given by the individual. As we all know the saying which tells that “Prevention of the disease at an early stage is much better than the cure which we take after we get affected by the disease”. This paper shows detailed explanation of how to find the diseases from symptoms, so that the individual can contact the respective doctor and stay healthy at an early stage.