Prediction of Diseases Using Different Machine Learning Approaches

Every year, as the number of patients and diseases increases, the medical system becomes overburdened and, in many nations, expensive. The majority of the condition necessitates a visit with a doctor in order to be treated. With enough data, disease prediction using an algorithm can be simple and inexpensive. Predicting disease based on symptoms is an important element of treatment. In our project, we attempted to accurately forecast an illness based on the patient's symptoms. For this, we utilized four different algorithms and achieved 92-95 percent accuracy. A system like this has a lot of potential in future medical therapy. We've also created an interactive interface to help you interact with the data.