Machine Learning Based Disease Prediction Based On Symptoms and Doctor Appointment Booking

Abstract

There is rapid growth in healthcare domain as people are more health conscious nowadays. There are artificial intelligence techniques which are recent evolution may impact more in intelligent healthcare systems. Proposed system uses machine learning techniques such as random forest, Support vector machine, logistic regression and voting classifier which are trained on symptoms and the relevant diseases. It is observed that voting classifier is giving better performance compared to other classifiers used. So, for further user input for symptoms in web application, voting classifier is applied for disease prediction. Interactive web application is designed for demonstration of this application where user can select the symptoms they have and voting classifier finds the disease the patient has and gives options to book the doctor appointments. Doctors can see the requests they received and can either approve the appointment or reject based on their availability. This application provides better solution than all manual and traditional techniques of disease prediction and doctor appointment booking.