Abstract:

“Cluster Disease Analysis with Mapping” is a web application developed in java. This project enables users to analyze the details of the disease. Users can analyze the diseases based on the location, disease, and location and can view the cluster of the disease details. This application provides easy and various ways to analyze the diseases. In this project, users can analyze the details of the disease based on the cluster which gives results based on the disease, sub-disease, and location. This system allows users to make a comprehensible analysis on diseases and get a quick estimation.

Existing System:

In the existing system, the process of analysis is a time taking process. No proper information about disease and patients is provided to the uses. In the existing system, there is more chance of data misplacement and mislay of data. In this system, all the collected disease and patient data are maintained in records which take a lot of time and physical effort in searching and modifying the data.

Proposed System:

The proposed system provides the smart and easy procedure in analyzing the details of the disease and patient. In this system, all the collected data is maintained in the database where this is no possibility of losing the data or misplacement of data. In this system, data can be searched and modifies very easily without any time waste and physical effort. This system maintains accurate and provides differed ways to users in searching the details of the disease.

Modules:

Admin:

Admin needs to give valid username and password to get logged into the application. Admin can add the patient by entering all the details of the patient like personal details, disease details, and location details.

User:

The user needs to fill the registration process to get username and password. The user needs to give unique username and password to get logged into the application. The user can search disease based on the location. Users can search by location and disease details. Users can view details of the disease by using the cluster search.

Conclusion:

“Cluster Disease Analysis with Mapping” is a web application which satisfies the need of users by efficiently searching the details of the disease and patient which helps users to analyze the disease without any time waste and without any physical effort. Our project enables users to know the details of the disease and analyze it from anywhere and from anywhere.