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@article{201492,
        author = {Akash R and Priyanka S and Mr.Indrajith N and Jeevagan K and Ravirajan},
        title = {Hospital Patient Data Analysis For Disease Risk Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4998-5006},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201492},
        abstract = {The rapid growth of healthcare data and digital technologies has created new opportunities for improving disease diagnosis and healthcare services. Early detection of diseases plays a crucial role in reducing health risks and providing timely medical treatment. However, in traditional healthcare systems, patients often need to visit hospitals and consult doctors even for basic symptom analysis, which can be time-consuming and inconvenient. To address this issue, a smart and automated healthcare support system is required. The project “Hospital Patient Data Analysis for Disease Risk Prediction” proposes a web-based application that assists users in identifying possible diseases based on their symptoms and provides appropriate healthcare guidance. The system is developed using ASP.NET as the front-end technology, C#.NET as the programming language, and SQL Server as the backend database. The main objective of the system is to analyze patient symptoms and predict possible diseases using a pattern matching technique, thereby supporting early diagnosis and improving healthcare accessibility.
In this system, users first register by providing basic personal information and then log in securely using their credentials. After logging in, users can select symptoms from the available list or enter relevant health details. The system processes the selected symptoms and compares them with stored disease datasets to identify possible diseases. Based on the analysis, the system provides suggestions such as home remedies for minor conditions and recommends appropriate hospitals and doctors for serious health issues. The system also allows users to upload their medical reports and test results for better analysis and record management. Additionally, the application provides an integrated hospital recommendation and doctor appointment booking feature, which enables patients to schedule consultations conveniently. The admin module manages the system database by updating disease information, symptoms, hospital details, and doctor information.},
        keywords = {Disease Prediction, Healthcare Data Analysis, Symptom Analysis, Pattern Matching Technique, Web-Based Healthcare System, ASP.NET, C#.NET, SQL Server, Hospital Recommendation System, Online Doctor Appointment System, Medical Data Management, Healthcare Decision Support System. The proposed system improves healthcare efficiency by providing a user-friendly platform for early disease identification, medical guidance, and appointment management. It reduces the time required for initial diagnosis and helps users make informed healthcare decisions. Overall, the application serves as an intelligent healthcare assistance platform that supports both patients and healthcare providers in delivering efficient and accessible medical services.},
        month = {May},
        }