Smart Health Disease Prediction Using Naive Bayes

Download Project Document/Synopsis

It might have happened so many times that you or your closed ones need doctors help immediately, but they are not available due to some reasons. The Health Prediction system is an end user support and online consultation project. Here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease/illness associated with those systems. This health prediction system allows users to share their symptoms and issues. It then processes user’s symptoms to check for various illness that could be associated with it. Here we use intelligent system of Naïve Bayes algorithm and depending on the symptoms will predict the diseases and for normal person it will predict the daily hygiene diet and routines which he/ she can follow. Users will also be able to contact the specialist doctors nearby. It will help users for easy medical treatment and diagnosis. Naïve Bayes algorithm urges users to go for blood test, x-ray, CITI scan or whichever report it feels user’s symptoms are associated with, so next time user may be able to login and upload an image of those reports. The system also has a doctor login, these uploaded images are now sent to respective doctor along with patient contact details. The doctors may now contact the patient for further process.



Advantages
  • This system helps to reduce the waiting time of the patient.
  • Users can select the appointment time according to his preference.
  • Available and booked slots are shown in effective graphical user interface.
Disadvantages
  • This application requires active internet connection.
  • User need to put correct data or else it behaves abnormally.
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