Smart Health Prediction and Drug Recommendation Using Data Mining

Abstract

To ensure that the citizen and community are alive and in good health in the age of digital technology, the world must establish an excellent health system. Users of the system can communicate their symptoms and problems. After that, it analyses the user's symptoms to look for any potential illnesses. Here, we employ some clever data mining algorithms to identify the ailment that might be most accurately linked to the patient's symptoms. In the event that the system is unable to deliver accurate findings, it tells the user of the disease or ailment it believes the user's symptoms are related to. If a user's symptoms do not precisely match any condition in our database, it displays diseases that the user may likely have based on those symptoms. Together with feedback, contacts, and an administrator dashboard for system management, it also includes the doctor's address. According to this study, a data mining algorithm should be used to construct an effective health prediction system for patients.