SmartCare: ML-Based Disease Prediction and Hospital Management System

  • Unique Paper ID: 192478
  • Volume: 12
  • Issue: 9
  • PageNo: 1656-1661
  • Abstract:
  • The SmartCare System is a web-based hospital management platform developed to enhance the efficiency of healthcare services using machine learning and role-based access control. It enables smooth interaction between patients, doctors, and administrators based on their specific responsibilities within the system. Patients can safely create accounts, log in, and enter their symptoms to receive disease predictions generated by a supervised machine learning model trained on real medical data. The platform also recommends appropriate doctors according to the reported symptoms and offers basic healthcare guidance to support informed decision-making. Doctors have access to a unified dashboard where they can view patient details, analyze machine learning predictions, schedule and manage appointments, issue prescriptions, and request leave. Administrators oversee the entire system by managing users, configuring system settings, and maintaining medical datasets to ensure consistent performance and accurate updates. The SmartCare System focuses on strong security, smooth workflow management, and flexible handling of medical data. It reflects the practical application of machine learning in healthcare and highlights the importance of user-centered design in delivering dependable digital health services.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{192478,
        author = {Vinay Bugga and Kotari Swamy and Paladugula Sowmya},
        title = {SmartCare: ML-Based Disease Prediction and Hospital Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1656-1661},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192478},
        abstract = {The SmartCare System is a web-based hospital management platform developed to enhance the efficiency of healthcare services using machine learning and role-based access control. It enables smooth interaction between patients, doctors, and administrators based on their specific responsibilities within the system. Patients can safely create accounts, log in, and enter their symptoms to receive disease predictions generated by a supervised machine learning model trained on real medical data. The platform also recommends appropriate doctors according to the reported symptoms and offers basic healthcare guidance to support informed decision-making. Doctors have access to a unified dashboard where they can view patient details, analyze machine learning predictions, schedule and manage appointments, issue prescriptions, and request leave. Administrators oversee the entire system by managing users, configuring system settings, and maintaining medical datasets to ensure consistent performance and accurate updates. The SmartCare System focuses on strong security, smooth workflow management, and flexible handling of medical data. It reflects the practical application of machine learning in healthcare and highlights the importance of user-centered design in delivering dependable digital health services.},
        keywords = {Disease Forecasting, Smart Healthcare System, Hospital Administration Software, Artificial Intelligence Machine Learning, Django Web Framework, Digital Healthcare Platform, SQLite Data Storage.},
        month = {February},
        }

Cite This Article

Bugga, V., & Swamy, K., & Sowmya, P. (2026). SmartCare: ML-Based Disease Prediction and Hospital Management System. International Journal of Innovative Research in Technology (IJIRT), 12(9), 1656–1661.

Related Articles