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The Design of a Cloud-based Clinical Decision Support System Prototype: Management of Drugs Intoxications in Childhood

机译:基于云的临床决策支持系统原型的设计:童年中毒中毒的管理

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The authors developed a mobile cloud-based clinical decision support system for drug poisoning in children. The system has a Client/Server architecture and provides a mobile application and a web service to be deployed on the Amazon Cloud infrastructure. Physicians benefit from a user interface to input patient data and to receive diagnosis and treatment protocol. The objective of this article is to help doctors, and particularly the beginners to manage and to treat children suffering from drug poisoning when toxicity is known or unknown. To do this, an intelligent system is developed. It is composed of an expert system, used when the toxic drug is known, and a case-based reasoning system applied when the toxic being ingested is unknown. Drug poisoning among children is a serious health problem in many countries; therefore, it requires more attention. Solutions must not rely only on educational and legislation efforts, but an interdisciplinary mobilization is necessary to achieve better improvement. In Algeria, the poisoning in children is gaining a considerable scale, but this phenomenon remains insufficiently investigated due to the lack of national data and statistics. However, in 2013, data collected by the Algiers Poison Control Centrel (2013) show that drug poisoning is at the top with 60% of cases treated and affects both children and adults. Statistics reveal a significant increase in the number of poisonings by drugs in recent years, from 688 cases recorded in 1991 to 5,312 in 2013, representing 67.2% of the total number of poisonings. As shown in Figure 1, children aged 2 to 5 years are the most vulnerable to poisoning (36.6%), followed by young adults aged 19 to 29 years (25.6%). This figure also indicates that 49.6% of adults are intoxicated, compared to 50.4% of poisoned children.
机译:作者开发了一种用于儿童药物中毒的基于移动云的临床决策支持系统。该系统具有客户端/服务器体系结构,并提供移动应用程序和用于部署在Amazon云基础架构上的Web服务。医生从用户界面中受益,以输入患者数据并接收诊断和治疗方案。本文的目的是帮助医生,特别是初学者管理和治疗患有毒液中毒的儿童,当毒性是已知的或未知的。为此,开发了一个智能系统。它由专家系统组成,当毒性药物已知时使用,并且当摄入毒性时施加的基于案例的推理系统是未知的。儿童中毒在许多国家是一个严重的健康问题;因此,它需要更多关注。解决方案不仅依靠教育和立法努力,而且需要跨学科动员来实现更好的改进。在阿尔及利亚,儿童中毒正在获得相当大的规模,但由于缺乏国家数据和统计,这种现象仍然不充分调查。然而,2013年,阿尔及尔毒物控制中心收集的数据显示,药物中毒在顶部,60%的病例治疗,并影响儿童和成人。统计数据显示近年来毒品中的中毒数量大幅增加,2011年的688例至5,312案,占中毒总数的67.2%。如图1所示,2至5年的儿童是最容易受中毒(36.6%)的群体,其次是19至29岁(25.6%)的年轻人。该图还表明,49.6%的成年人陶醉,而有毒儿童的50.4%。

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