Prediction of Disease in Smart Healthcare System

It may happen frequently for you or a loved one needs immediate medical attention, but they're not available due to unforeseen circumstances, or we can't find them. The best physician for your needs. We will therefore attempt to address this issue by integrating an online intelligent Smart Healthcare System into this project. Using a web-based programme, it enables patients to receive immediate guidance on their medical issues. The smart healthcare system's goal is to develop a web application that can analyze a user's symptoms to identify diseases and act as an online consultant for different conditions. We developed the Smart Health Care System, an expert system that facilitates the work of doctors. A machine performs a basic examination of the patient and suggests any potential diseases. It starts by asking the patient about their symptoms; if the device can identify the relevant condition, it then suggests a doctor who is close by. Based on the information that has been gathered, the system will display the outcome. Here, we're going to employ some cunning data mining strategies. We employ several forms of intelligent data mining. Ways to make the most accurate disease predictions based on a database of many patients' medical records, we use an algorithm (Naive Bayes) to map the symptoms with potential diseases that could be related to a patient's symptoms. This system helps patients by getting them the care they require as soon as possible while also making doctors' jobs easier.