Task distribution based adaptation in mobile patient monitoring systems

Mei, Hailiang

doi:10.3990/1.9789036530262

Cited by 1 publication

(1 citation statement)

References 106 publications

(100 reference statements)

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“…The optimal assignment of tasks to the available agents is a well-known mathematical NP-hard problem which is manifested in many application domains. To solve this class of problems, various approaches have been proposed that may also be adopted for the distribution of MADE processes, from exact A*-based algorithms for small-scale problems to heuristic algorithms which involve multiple iterations of task clustering (Mei, 2010). However, for the MADE framework, the assignment problem is complicated by a number of factors, such as the possible presence of specialised devices (e.g.…”

Section: Mechanisms For the Distribution Of Knowledgementioning

confidence: 99%

The Conceptual MADE Framework for Pervasive and Knowledge-Based Decision Support in Telemedicine

Fung

Jones

Widya

et al. 2016

International Journal of Knowledge and Systems Science

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Telemedicine systems are inherently distributed, but, especially in the context of the Internet-of-Things, their complete physical configuration may only be determined after design time by considering, for example, the individual patient's needs. Therefore, to enable pervasive and knowledge-based decision support to be provided in telemedicine, a conceptual framework was developed for modelling and executing clinical knowledge as networks of four types of concurrent processes: Monitoring (M), Analysis (A), Decision (D) and Effectuation (E). In this way, the required decision support functionality can, as presented in this article, be distributed at run-time by mapping different portions of the knowledge across the devices constituting the system. This MADE framework was applied to model a clinical guideline for gestational diabetes mellitus and to derive a prototype knowledge-based system that executes the resulting MADE network. Thus it is shown to support the full development trajectory of a telemedicine system, including analysis, design and implementation.

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Section: Mechanisms For the Distribution Of Knowledgementioning

confidence: 99%