Smart and Secure Blockchain-based Healthcare System Using Deep Q-Learning
المؤلف | Al-Marridi A.Z. |
المؤلف | Mohamed A. |
المؤلف | Erbad A. |
المؤلف | Guizani M. |
تاريخ الإتاحة | 2022-04-21T08:58:21Z |
تاريخ النشر | 2021 |
اسم المنشور | 7th IEEE World Forum on Internet of Things, WF-IoT 2021 |
المصدر | Scopus |
المعرّف | http://dx.doi.org/10.1109/WF-IoT51360.2021.9595416 |
الملخص | Healthcare is one of the top priorities in modern society to provide better health facilities. Therefore, investments in health care systems increased rapidly, aligned with the population growth rate. Besides, the data generated from the health sectors is incomparable with the amount of data generated in other industries. Therefore, managing data processing and sharing between various healthcare stakeholders is essential. Blockchain is an emerging technology used heavily in various domains, including the healthcare sector, to facilitate secure data sharing. However, mapping the content requirements with the blockchain's configuration was not addressed, especially when addressing security, delays, and cost in healthcare systems. This paper proposes a blockchain-based intelligent Healthcare system (BC-iHealth) to address the mapping between the blockchain entities' needs with the blockchain's configuration while maximizing the security and minimizing the overall delay and cost. The optimization model is formulated as a Markov Decision Process (MDP) and solved intelligently using a Deep Q-Learning approach. Simulation results confirm that the Deep Q-Learning optimizes the BC-iHealth system and outperforms two benchmark strategies: random selection and exhaustive search. 2021 IEEE. |
راعي المشروع | Qatar Foundation;Qatar National Research Fund |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Deep learning Health care Mapping Markov processes Population statistics Reinforcement learning Block-chain DQL Emerging technologies Health facilities Healthcare sectors Healthcare systems Neural-networks Population growth rates Q-learning Reinforcement learnings Blockchain |
النوع | Conference Paper |
الصفحات | 464-469 |
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