SMILE: smart monitoring intelligent learning engine: an ontology-based context-aware system for supporting patients subjected to severe emergencies

IF 0.4 Q4 HEALTH CARE SCIENCES & SERVICES International Journal of Healthcare Technology and Management Pub Date : 2016-08-17 DOI:10.1504/IJHTM.2016.078346
Malak Khreiss, I. Zaarour, H. Mcheick
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Abstract

Remote healthcare has made a revolution in the healthcare domain. However, an important problem this field is facing is supporting patients who are subjected to severe emergencies (as heart attacks) to be both monitored and protected while being at home. In this paper, we present a conceptual framework with the main objectives of: 1) emergency handling through monitoring patients, detecting emergencies and insuring fast emergency responses; 2) preventing an emergency from happening in the first place through protecting patients by organising their lifestyles and habits. To achieve these objectives, we propose a layered middleware. Our context model combines two modelling methods: probabilistic modelling to capture uncertain information and ontology to ease knowledge sharing and reuse. In addition, our system uses a two-level reasoning approach (ontology-based reasoning and Bayesian-based reasoning) to manage both certain and uncertain contextual parameters in an adaptive manner. Bayesian network is learned from ontology. Moreover, to ensure a more sophisticated decision-making for service presentation, influence diagram and analytic hierarchy process are used along with regular probabilistic rules (confidence level) and basic semantic logic rules.
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SMILE:智能监控智能学习引擎:基于本体的情境感知系统,支持严重突发事件患者
远程医疗在医疗保健领域掀起了一场革命。然而,这一领域面临的一个重要问题是,如何支持遭受严重紧急情况(如心脏病发作)的患者在家中受到监测和保护。在本文中,我们提出了一个概念框架,其主要目标是:1)通过监测患者,发现突发事件和确保快速应急响应来处理突发事件;2)首先通过组织病人的生活方式和习惯来保护他们,防止紧急情况的发生。为了实现这些目标,我们提出了分层中间件。我们的上下文模型结合了两种建模方法:概率建模来捕获不确定信息,本体建模来简化知识共享和重用。此外,我们的系统使用两级推理方法(基于本体的推理和基于贝叶斯的推理)以自适应的方式管理确定和不确定的上下文参数。贝叶斯网络是从本体中学习来的。此外,为了保证对服务表示的决策更加复杂,还使用了影响图和层次分析法以及规则的概率规则(置信度)和基本的语义逻辑规则。
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来源期刊
CiteScore
1.00
自引率
10.00%
发文量
10
期刊介绍: IJHTM is a new series emerging from the International Journal of Technology Management. It provides an international forum and refereed authoritative sources of information in the fields of management, economics and the management of technology in healthcare.
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