Author:
Zhang Xiangfeng,Wang Yanmei
Abstract
AbstractIn order to improve the intelligence of the medical system, this paper designs and implements a secure medical big data ecosystem on top of the Hadoop big data platform. It is designed against the background of the increasingly serious trend of the current security medical big data ecosystem. In order to improve the efficiency of traditional medical rehabilitation activities and enable patients to maximize their understanding of their treatment status, this paper designs a personalized health information system that allows patient users to understand their treatment and rehabilitation status anytime and anywhere, and all medical health data distributed in different independent medical institutions to ensure that these data are stored independently. As a distributed accounting technology for multi-party maintenance and backup information security, blockchain is a good breakthrough point for innovation in medical data sharing. In this paper, the system realizes the personal health data centre on the Hadoop big data platform, and the original distributed data are stored and analyzed centrally through the data synchronization module and the independent data acquisition system. Utilizing the advantages of the Hadoop big data platform, the personalized health information system for stroke has designed to provide personalized health management services for patients and facilitate the management of patients by medical staff.
Funder
Yellow River Conservancy Technical Institute innovation fund
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
Reference32 articles.
1. I.T. Hashem et al., The rise of “big data” on cloud computing: review and open research issues. Inf. Syst. 2015(47), 98–115 (2015)
2. L. Jake et al., Big data application in biomedical research and health care: a literature review. Biomed. Inform. Insights 8, S31559 (2016)
3. Y. Ying, L. Hung, Designing a demand chain management framework under dynamic uncertainty: an exploratory study of the Chinese fashion apparel industry. Asia Pac. J. Mark. Logist. 2018(30), 198–234 (2018)
4. S. Seref, S. Duygu. Big data: a review, in International Conference on Collaboration Technologies and Systems (CTS) (IEEE, 2013), pp. 42–47
5. F. Hernandez, D.H. Abubaker, Value creation via supply chain risk management in global fashion organizations outsourcing production to China. J. Glob. Oper. Strateg. Sourc. 2018(11), 250–272 (2018)
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