医疗保健和管理中的区块链和机器学习

Sankarr Jain, Aditya Anand, Aman Gupta, Kushagra Awasthi, Sarvesh Gujrati, Janamejaya Channegowda
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引用次数: 12

摘要

今天,我们在每个领域都有大量的可用数据,随着技术的出现,有可能为许多问题提供解决方案。在本文中,我们将使用机器学习和区块链为医疗保健数据管理相关问题提供解决方案。使用机器学习,只从数据中提取相关信息是可能的。这是通过训练算法完成的。一旦这些数据被存储,下一个问题就是数据共享及其可靠性。这就是区块链出现的地方。区块链技术中的共识确保了数据的合法性和交易的安全性。区块链技术可以通过将患者置于医疗保健系统的中心,并提高健康数据的隐私性和互操作性,从而有可能改善医疗保健管理。本文主要关注使用区块链技术解决医疗数据管理问题,并使用机器学习包括一些不可或缺的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain and Machine Learning in Health Care and Management
Today we have enormous amount of data available in every sector, with the advent of technology available, it is possible to provide solutions to many problems. In this paper we are going to provide solutions to the problems related to healthcare data management using Machine Learning and Blockchain. Extracting only the relevant information from the data is possible with the use of Machine Learning. This is done using trained algorithms. Once this data is stored, the next problem is Data sharing and its reliability. This is where Blockchain comes into picture. The consensus in Blockchain technology makes sure that data is legitimate and transactions are secure. Blockchain technology can potentially change health care management for the better by placing patient at the epicentre of the healthcare system and increasing the privacy and interoperability of health data. This paper focuses primarily on solving healthcare data management problems by using Blockchain technology and including some indispensable features using Machine Learning.
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