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Personal Health Record Management System

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Personal Health Record Management System

Chinmayee Y. Raut | Bushra R. Inamdar | Prof. R. G. Yelalwar

Chinmayee Y. Raut | Bushra R. Inamdar | Prof. R. G. Yelalwar "Personal Health Record Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3, April 2021, pp.547-553, URL: https://www.ijtsrd.com/papers/ijtsrd39900.pdf

Good health is one of the most valuable resources for a human being. Large-scale technological advancements have significantly improved human health by a large margin. But there are still several diseases whose symptoms are highly painful and debilitating for a patient. The doctor is in charge of facilitating an effective diagnosis of the patient's illness and providing relief to the patient through various medications. For this purpose, the doctor has at his disposal repository of information in the form of PHR or Public Health Records which can be utilized for querying the symptoms experienced by the patient. Sometimes the Medical Institute does not have the PHR with the exact parameters and symptoms described by the patient. Due to the deficiency in the PHR database, the doctor can employ the use of a data aggregator or vendor for fulfilling the requirement from other medical institutions. The problem in this approach is that there is a lack of trust between the medical Institutions and the data aggregators, as PHR can contain sensitive and personally identifiable information that cannot be shared easily. Therefore, this Publication details the implementation of an effective access control mechanism through the use of the distributed blockchain framework along with the introduction of K means clustering and entropy analysis catalyst by the artificial neural network to alleviate the trust issues. Extensive experimentation on the proposed methodology has confirmed its superiority in comparison to the conventional approaches.

Privacy Preserving, Blockchains, Artificial Neural Networks, Blockchains

Volume-5 | Issue-3, April 2021
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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