Using Machine Learning to Improve Healthcare: A Disease Prediction and Management System

For better patient diagnosis and treatment, medical facilities need to be advanced. With the assistance of machine learning, we can large and sophisticated medical datasets for analyzing them and getting clinical insights. Then, doctors can use this to continue offering medical care. Therefore, machine learning can boost patient happiness when it is used in healthcare. We try to incorporate machine learning skills into a single healthcare system in this work. By using precise machine learning predictive algorithms to replace diagnosis with disease prediction, healthcare can be made smarter. In some situations, a disease cannot be detected in its earliest stages. Therefore, disease prediction can be applied successfully. Prediction of diseases and epidemic outbreaks might result in an early prevention of a disease’s emergence, as said by the wise, “Prevention is better than cure." The major focus of this paper is the development of an enhanced system, or more accurately, an urgent medical provision that would incorporate symptoms. Because there is so much medical metadata available in different formats, the user becomes perplexed. The recommender system’s purpose is to adapt to the particular user-related demands of the health department.