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Analyzing medical contexts in ubiquitous computing home environments with denotational mathematics

机译:用指向数学分析普遍存在的计算家庭环境中的医学背景

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Home healthcare presents important advantages and benefits over traditional hospitalization, supported by the contemporary scientific and technological achievements. The ubiquitous computing paradigm is considered suitable to support nursing at home provided that the distributed computing devices participate in the commonly interpreted context. Wirelessly and ad-hoc connected large numbers of disseminated sensors and computing devices in the home environment present problems related to energy limitations and the patients' mobility resulting in the introduction of systemic complexity, uncertainty, and ambiguity. In addition, describing such a system with analytical mathematics requires and includes extensive details becoming tedious if not impractical. Denotational mathematics provides an alternative formal methodological framework capable to describe the important components, the operation, and the behavior of such complicated systems. With the employment of denotational mathematics an attempt is made to design a system that develops medically valid contextual contents to support patients hospitalized at home. The developed design provides the contents of the medical context enriched by the rules of the current state of medical knowledge. The technically evolved context is compared against predetermined medical contexts to obtain valid interpretation. The presented design has the ambition to support efficiently the cooperation of the discrete software applications looking for the development of a commonly interpreted medical context at home.
机译:家庭医疗保健提供了对传统住院治疗的重要优势和好处,由当代科技成果提供支持。普遍存在的计算范式被认为适于在家支撑护理,条件是分布式计算设备参与常用解释的上下文。无线和ad-hoc连接大量传播传感器和家庭环境中的计算设备存在与能量限制相关的问题和患者的流动,从而引入了系统性复杂性,不确定性和歧义。此外,描述具有分析数学的这种系统需要,并且包括广泛的细节,变得乏味,如果不是不切实际的话。表示数学提供了一种能够描述这种复杂系统的重要组成部分,操作和行为的替代正式的方法。随着非指数数学的就业,尝试设计一种制定医学上有效的上下文内容的系统,以支持在家里住院的患者。开发的设计提供了当前医学知识状态规则富集的医学背景的内容。将技术进化的上下文与预定的医学背景进行比较以获得有效的解释。本设计具有雄心壮志,有效地支持离散软件应用程序寻找在家中开发常见解释的医疗背景的合作。

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