论文标题
可靠且有弹性的AI和基于物联网的个性化医疗服务：一项调查
Reliable and Resilient AI and IoT-based Personalised Healthcare Services: A Survey
论文作者
论文摘要
最近的技术和经济发展已将医疗保健部门转变为更个性化和基于物联网的医疗服务。这些服务是通过通常使用基于人工智能/机器学习算法开发的控制和监视应用程序来实现的，这些算法在突出传统医疗保健系统的效率方面发挥了重要作用。当前的个性化医疗保健服务专门针对特定的环境来支持技术个性化。但是，他们无法考虑不同的相互关联的健康状况，从而导致不适当的诊断并影响患者的可持续性和长期健康。为此，当前的Healthcare 5.0技术已经进化，可以取代以前的医疗保健技术。 Healthcare 5.0的目标是实现自治医疗服务，该服务考虑了患者不同健康状况的相互依存效果。本文对个性化医疗服务进行了全面的调查。特别是，我们首先概述了现代医疗互联网（HIOT）中综合个性化医疗服务的关键要求，包括个性化的定义和示例用例场景作为现代HIOT的代表。其次，我们使用AI和非基于非AI的方法探索了基于物联网的医疗系统的基本三层体系结构，考虑了CPHS的关键要求，然后在个性化的医疗保健服务框架内具有优势和劣势。第三，我们强调了针对物联网体系结构的每一层的不同安全威胁以及可能的基于AI和非AI的解决方案。最后，我们提出了一种方法，以开发可靠，弹性和个性化的医疗服务，以解决现有方法的弱点。
Recent technological and economic developments have transformed the healthcare sector towards more personalized and IoT-based healthcare services. These services are realized through control and monitoring applications that are typically developed using artificial intelligence/machine learning-based algorithms, which play a significant role in highlighting the efficiency of traditional healthcare systems. Current personalized healthcare services are dedicated to a specific environment to support technological personalization. However, they are unable to consider different interrelated health conditions, leading to inappropriate diagnoses and affecting sustainability and the long-term health of patients. To this end, current Healthcare 5.0 technology has evolved that supersede previous healthcare technologies. The goal of healthcare 5.0 is to achieve an autonomous healthcare service, that takes into account the interdependent effect of different health conditions of a patient. This paper conducts a comprehensive survey on personalized healthcare services. In particular, we first present an overview of key requirements of comprehensive personalized healthcare services in modern healthcare Internet of Things (HIoT), including the definition of personalization and an example use case scenario as a representative for modern HIoT. Second, we explored a fundamental three-layer architecture for IoT-based healthcare systems using AI and non-AI-based approaches, considering key requirements for CPHS followed by their strengths and weaknesses in the frame of personalized healthcare services. Third, we highlighted different security threats against each layer of IoT architecture along with the possible AI and non-AI-based solutions. Finally, we propose a methodology to develop reliable, resilient, and personalized healthcare services that address the identified weaknesses of existing approaches.
