WEB BASED USER SEARCH FOR IDENTIFYING DISEASE AND TREATMENT

The rapid growth of web technologies has significantly transformed the healthcare domain by enabling patients to access medical information instantly and efficiently. In today’s digital era, individuals increasingly rely on online platforms to obtain preliminary health-related knowledge before consulting medical professionals. This paper presents a Web-Based User Search System for Identifying Disease and Treatment, developed using PHP as the server-side scripting language and MySQL as the relational database management system. The proposed system is designed to facilitate quick and structured retrieval of disease-related information through short text search queries. Users can input disease names or keywords related to symptoms and obtain comprehensive details including symptoms, causes, treatment methods, and preventive measures. The system incorporates a role-based access mechanism where doctors are authorized to add, edit, and update disease information, while administrators manage authentication, monitor user activities, and maintain data integrity.

The architecture follows a three-tier model consisting of presentation, application, and database layers to ensure modularity and scalability. Structured database design enables efficient indexing and retrieval, while SQL-based query mechanisms ensure accurate keyword matching.

Keywords — Web-Based Healthcare System; Disease Identification; Medical Information Retrieval; PHP; MySQL; Short Text Classification; Data Mining; Clinical Decision Support; Three-Tier Architecture.

related to symptoms and obtain comprehensive details including symptoms causes treatment methods and preventive measures. The system incorporates a role-based access mechanism where doctors are authorized to add edit and update disease information while administrators manage authentication monitor user activities and maintain data integrity. The architecture follows a three-tier model consisting of presentation application and database layers to ensure modularity and scalability. Structured database design enables efficient indexing and retrieval while SQL-based query mechanisms ensure accurate keyword matching. Keywords — Web-Based Healthcare System; Disease Identification; Medical Information Retrieval; PHP; MySQL; Short Text Classification; Data Mining; Clinical Decision Support; Three-Tier Architecture.