The purpose of the project entitled as “Smart Health Prediction” is to develop software which is
user friendly simple, fast, and cost – effective. It deals with the collection of patient’s information,
diagnosis details, etc. Traditionally, it was done manually The main function of the system is
register and store patient details and doctor details and retrieve these details as and when required,
and also to manipulate these details meaningfully System input contains patient details, diagnosis
details, while system output is to get these details on to the screen. The Smart Health Prediction
can be entered using a username and password. It is accessible either by an administrator. Only
they can add data into the database. The data can be retrieved easily.The data are well protected
for personal use and makes the data processing very fast.
This is the document of the Project proposal for developing a health care system. This system
is fully updated and we had provide some new things in it. The project aimed to build a fully
functional system in order to achieve the efficiency in faster heath treatment and online
consultation system. The overall mission of system development is to make the primary treatment
quickly and easily complete the Online Consultation System.
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. The system allows user to share their symptoms and
issues. It then processes user's symptoms to check for various illnesses that could be associated
with it. Here we use some intelligent data mining techniques to guess the most accurate illness that
could be associated with patient's symptoms.
This Project “Smart Health Prediction” aims at maintaining patient health records and even
getting appointments from various doctors for related treatments. The system user must register as
a member of this system and keep updating his medical history. Patients then can select from a list
of specialized doctors for respective treatments such as (skin specialist, ENT specialist,
cardiologist, dietitian etc.)At particular locations. Patients may also select suitable appointment
timings for their meeting. Patients can also order their medicines and perform online transactions.