Shahzad Syed Khuram, Ahmed Daniyal, Naqvi Muhammad Raza, Mushtaq Muhammad Tahir, Iqbal Muhammad Waseem, Munir Farrukh
Department of Informatics and Systems, University of Management and Technology, Lahore, Pakistan.
Department of Computer Science, Lahore Garrison University, Lahore, Pakistan.
Comput Methods Programs Biomed. 2021 Aug;207:106146. doi: 10.1016/j.cmpb.2021.106146. Epub 2021 May 18.
The massive increase, in the Internet of Things applications, has greatly evolved technological aspects of human life. The drastic development of IoT based smart healthcare services have layout the smart process models to facilitate all stakeholders (e.g. patients, doctors, hospitals etc.) and made it an important social-economic concern. There are variety of smart healthcare services like remote patient monitoring, diagnostic, disease specific remote treatments and telemedicine. Many trending Internet of Health Things research and development are done in a very disjoint and independent fashion providing solutions and guidelines for variant diseases, medical resources and remote services management. These expositions work over many shared resources such as health facilities for patient and human in healthcare system.
This research discusses the ontology for merging methods to form an integrated platform with shared knowledge of smart healthcare services. The proposed process model creates an ontological framework of integrated healthcare services, which are firstly defined using ontologies and lately integrated over similarities, differences, dependencies and other semantic relations. The data and process requirements for service integration facility is derived from various smart healthcare services.
The proposed model is evaluated using two-step ontological modeling testing method, applied at the ontological framework of integrated smart health services. First evaluation step has targeted the model consistency validation using reasoning tool while querying tools are used to validate the retrieved data entities and relations among them for predefined use-cases.
The research concluded with a novel approach for smart health service integration using ontological modeling and merging techniques. The model efficiency enhancement and query optimization methods are listed in future tasks of the research.
物联网应用的大量增加极大地改变了人类生活的技术层面。基于物联网的智能医疗服务的迅猛发展构建了智能流程模型，以便利所有利益相关者（如患者、医生、医院等），并使其成为一个重要的社会经济问题。智能医疗服务种类繁多，如远程患者监测、诊断、特定疾病的远程治疗和远程医疗。许多热门的健康物联网研发工作是以非常分散和独立的方式进行的，为各种疾病、医疗资源和远程服务管理提供解决方案和指导方针。这些阐述涉及许多共享资源，如医疗系统中为患者和人类提供的医疗设施。
本研究讨论了用于合并方法以形成具有智能医疗服务共享知识的集成平台的本体。所提出的流程模型创建了一个集成医疗服务的本体框架，该框架首先使用本体进行定义，然后基于相似性、差异性、依赖性和其他语义关系进行集成。服务集成设施的数据和流程要求源自各种智能医疗服务。
使用两步本体建模测试方法对所提出的模型进行评估，该方法应用于集成智能健康服务的本体框架。第一步评估旨在使用推理工具验证模型的一致性，而查询工具用于针对预定义用例验证检索到的数据实体及其之间的关系。
该研究得出了一种使用本体建模和合并技术进行智能健康服务集成的新方法。模型效率提升和查询优化方法列在该研究的未来任务中。
