Smart e-Health Security and Safety Monitoring with Machine Learning Services

机译：借助机器学习服务的智能电子卫生安全和安全监控

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This research provides security and safety extensions to a blockchain based solution whose target is e-health. The Advanced Blockchain platform is extended with intelligent monitoring for security and machine learning for detecting patient treatment medication safety issues. For the reasons of stringent HIPAA, HITECH, EU-GDPR and other regional regulations dictating security, safety and privacy requirements, the e-Health blockchains have to cover mandatory disclosure of violations or enforcements of policies during transaction flows involving healthcare. Our service solution further provides the benefits of resolving the abnormal flows of a medical treatment process, providing accountability of the service providers, enabling a trust health information environment for institutions to handle medication safely, giving patients a better safety guarantee, and enabling the authorities to supervise the security and safety of e-Health blockchains. The capabilities can be generalized to support a uniform smart solution across industry in a variety of blockchain applications.

机译：这项研究为目标为电子医疗的基于区块链的解决方案提供了安全性和安全性扩展。先进的区块链平台扩展了智能安全监控功能和机器学习功能，可检测患者治疗用药的安全性问题。由于严格的HIPAA，HITECH，EU-GDPR和其他地区法规规定了安全性，安全性和隐私要求，因此，在涉及医疗保健的交易流程中，e-Health区块链必须涵盖对政策的违反或强制执行的强制性披露。我们的服务解决方案还具有以下优点：解决了医疗过程中的异常流程，对服务提供者进行了问责，为机构提供了可信赖的健康信息环境以安全地处理药物，为患者提供了更好的安全保障，并使当局能够监督电子医疗区块链的安全性。可以对功能进行通用化，以支持各种区块链应用程序中跨行业的统一智能解决方案。

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《International Conference on Computer Communication and Networks》|2020年|1-6|共6页
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作者
W. Liu; E.K. Park; U. Krieger; S.S. Zhu;
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关键词
Monitoring; Safety; Medical services; Machine learning; Protocols;

机译：监控;安全;医疗服务;机器学习;协议;

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Smart e-Health Security and Safety Monitoring with Machine Learning Services

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