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Personal Health Record Management System

Journal: International Journal of Trend in Scientific Research and Development (Vol.5, No. 3)

Publication Date:

Authors : ;

Page : 547-553

Keywords : Privacy Preserving; Blockchains; Artificial Neural Networks; Blockchains;

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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 patients 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. 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, URL: Paper URL:

Last modified: 2021-06-09 15:53:07