Smart healthcare prediction management system project report

The purpose of the project entitled as \u201cSmart Health Prediction\u201d is to develop software which is user friendly simple, fast, and cost \u2013 effective. It deals with the collection of patient\u2019s 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 \u201cSmart Health Prediction\u201d 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.