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Concept-Level Model of Integrated Syntax and Semantic Validation for Internet of Medical Things Data

机译:医学事物互联网集成语法和语义验证的概念级模型

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Integrating personal health data into a central medical information system is met with various challenges. Medical data is a critical and highly sensitive resource. Data quality problems can occur at various phases, such as collection of sensor data or its processing. Thus, in order to remedy threats to persons' health and security due to faulty data, syntax verification and semantic validation of medical data is a vital step. Furthermore, the communication must be in line with international standards and regulations and data structure definition (DSD) must be ensured. In order to operate with vastly diverse personal health data, semantic constraints specification is needed. To achieve this, a schematron-based validation tool will be integrated as a module into a larger data cleaning and processing system which ensures the quality of data and its compliance to the existing standards and regulations.
机译:将个人健康数据整合到中央医疗信息系统中,满足了各种挑战。医疗数据是一个关键和高度敏感的资源。数据质量问题可能发生在各个阶段,例如传感器数据的集合或其处理。因此,为了弥补对人类健康和安全的威胁,由于数据错误,医学数据的语法验证和语义验证是一个重要的步骤。此外,通信必须符合国际标准和法规,并必须确保数据结构定义(DSD)。为了以广泛多样化的个人健康数据进行操作,需要语义约束规范。为此,将基于模式的验证工具作为模块集成到更大的数据清洁和处理系统中,该系统可确保数据质量及其对现有标准和规定的遵守情况。

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