Application of Machine Learning Algorithms for Efficient Disease Prediction

This research presents the development of a System for Predicting Diseases Using Machine Learning. The system leverages machine learning algorithms to predict the likelihood of individuals developing COVID-19., heart disease, or chronic kidney disease. By inputting relevant symptoms, medical history, and other relevant factors, users can receive preliminary disease predictions without requiring immediate in-person consultation. Powered by Python and Django, the system provides a user-friendly interface for accessing these predictive models. This system aims to improve access to healthcare by facilitating early identification of potential health risks, empowering individuals to make informed decisions about their health, and potentially reducing the burden on healthcare systems.