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Medical knowledge in modern health care is vast and constantly changing, as well as expanding. The envisioned role of computer programs in health care is perhaps the most important. The provisioning of clinical decision support systems (CDSS) would enable the discovery of patterns in health data which might be important for the fight against incorrect diagnosis. Medicine uses empirical knowledge about...
We present the use of hyper similarity matching for modeling the situational matching central to intuitive decision making with importance weights for situations with different weight vectors. Extreme values are used to characterize intuitive situational matching by introducing the concept of amplification of the importances for such extreme values and characterizing similarity matching based on amplification.
We describe a comprehensive framework to evaluate infectious disease mitigation strategies. Specifically, this framework is used to design, develop, validate and rapidly deploy a decision support system that can be used by public health experts to identify effective mitigation strategies for an infectious disease outbreak. An outbreak-specific decision support system must satisfy three criteria: reliability...
Cloud computing is a large-scale distributed computing paradigm driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable, managed computing power, storage, platforms, and services are delivered on demand to external customers over the Internet. Although a significant amount of studies have been developed to optimize resource management and task scheduling in cloud...
Web based decision aids, embedded in modern telemedicine systems, are a tool to improve the skills of general practitioners and patients in sharing decision making. The aim of this paper is to present a new method based on data quality and fuzzy prototypes to provide a better and improved knowledge management framework for web-based decision aids. The proposed model is able to manage data quality...
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