Copyright © 2025 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.

@article{168162,
        author = {SHAIK RASHEED and B MURALI},
        title = {MULTI-SOURCE MEDICAL DATA INTEGRATION AND MINING FOR HEALTHCARE SERVICES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {14-18},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168162},
        abstract = {In this project the advent of Internet of Health (IoH) age, traditional medical or healthy services are gradually migrating to the Web or Internet and have been producing a considerable amount of medical data associated with patients, doctors, medicine, medical infrastructure and so on. Effective fusion and analyses of these IoH data are of positive significances for the scientific disaster diagnosis and medical care services. However, IoH data are often distributed across different departments and contain partial user privacy. Therefore, it is often a challenging task to effectively integrate or mine the sensitive IoH data, during which user privacy is not disclosed. So, to overcome this difficulty, we introduce IOH, where the IOH can upload medicines to the particular patient without leaking the patients data and the admin can view the medicines after he got an acceptance from IOH. Patients also can view doctors and they can consult the doctors only after the acceptance from admin and doctor.},
        keywords = {Data Fusion, Distributed Data Management, Privacy-Preserving Data Mining, Access Control Mechanisms, Secure Data Upload/Download},
        month = {September},
        }