Description

The rapid proliferation of Internet technology and handled devices has opened up new avenues for an online healthcare system. There are instances where online medical help or healthcare advice is easier and faster to grasp than real-world help. People often feel reluctant to go to hospital or physician or minor symptoms. However, in many cases, these minor symptoms may trigger major health hazards. As online health advice is easily reachable, it can be a great head start for users. Disease Prediction is a method which predicts diseases based on symptoms in order to improve medical attention given to patients. The process of identifying a disease, condition, or injury from its signs and symptoms is known as diagnosis. Classical diagnosis method is a process where patient has to visit the doctor, undergo various medical tests and then come to conclusion. This process is very time consuming and tedious. To save the time required and also money for the initial process of diagnosis symptoms, this project proposes an automated system that relies on user input.