IJBTT

Medical Data Asset Management and an Approach for Disease Prediction using Blockchain and Machine Learning

Medical Data Asset Management and an Approach for Disease Prediction using Blockchain and Machine Learning
	© 2023 by IJETT Journal
	Volume-71 Issue-4
	Year of Publication : 2023
	Author : K. Shruthi, A. S. Poornima
	DOI : 10.14445/22315381/IJETT-V71I4P242

How to Cite?

K. Shruthi, A. S. Poornima, "Medical Data Asset Management and an Approach for Disease Prediction using Blockchain and Machine Learning, " International Journal of Engineering Trends and Technology, vol. 71, no. 4, pp. 491-514, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I4P242

Abstract
In the present medical services, the board, clinical well-being records are as electronic clinical record (EHR/EMR) frameworks. These frameworks store patients' clinical histories in a computerized design. Notwithstanding, a patient's clinical information is gained in a productive and ideal way and is demonstrated to be troublesome through these records. Powerlessness constantly prevents the well-being of the board from getting data, less use of data obtained, unmanageable protection controls, and unfortunate information resource security. In this paper, we present an effective and safe clinical information resource, the executives' framework involving Blockchain, to determine these issues. Blockchain innovation facilitates the openness of all such records by keeping a block for each patient. This paper proposes an engineering utilizing an off-chain arrangement that will empower specialists and patients to get records in a protected manner. Blockchain makes clinical records permanent and scrambles them for information honesty. Clients can notice their wwell-being records, yet just patients own the confidential key and can impart it to those they want.

Smart contracts likewise help our information proprietors to deal with their information access in a permission way. The eventual outcome will be seen as a web and portable connection point to get to, identify, and guarantee high-security information handily. In this adventure, we will give deals with any consequences regarding the issues associated with clinical consideration data and the chiefs using AI and Blockchain. Removing only the imperative information from the data is possible with the use of AI. This is done using arranged estimations. At the point when this data is taken care of, the accompanying issue is information sharing and its constancy. This is where Blockchain comes into the picture. Understanding Blockchain development guarantees that data is real and trades are secure. Blockchain development could work on clinical benefits by setting patients at the point of convergence of the clinical consideration structure and extending the insurance and interoperability of prosperity data. This paper is based in a general sense on dealing with clinical benefits data the board issues using Blockchain development and including a couple of key AI components. The fundamental thought process is to bring the attributes of AI and Blockchain together. AI assumes a pivotal part in identifying lethal illnesses. Then again, Blockchain innovation can reform clinical information base interoperability and limit unapproved record admittance. This would guarantee that the touchy patient information is firmly gotten. Expects to construct a safe, ML-driven medical care executive’s framework that would guarantee that the sicknesses are precisely anticipated and sorted in the beginning phase.

Further, it guarantees that the prepared model channels the information and disposes of the multitude of individual subtleties of the patient and safeguards it from information holes and breaks. It drives the framework with Blockchain to get the exchanges among patients and the approved specialist. It also gives patients the adaptability to pick which specialist should see their wwell-being record and who should not.

Keywords
Blockchain, Ethereum, Flask, Ganache, Machine learning.

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