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Cross-Platform E- Management for Smart Care Facilities Using Deep Interpretation of Patient Surveillance Videos

机译:使用深刻解释患者监控视频的智能护理设备的跨平台电子管理

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Smart health applications are increasingly used in various healthcare environments. Deep neural networks provide the ability of visual interpretation of complex environments. An important part of providing smart health and smart care services, is patient monitoring and remote clinical decision management. In this paper a deep learning based patient monitoring and clinical decision management system for smart care facilities is proposed. The proposed cross-platform e-management system is a part of a medical business intelligence framework which is capable of helping care providers with various alerts, recommendations, data analytics and dashboards for better response to the situations in a smart care facility. The proposed system processes various information including the visual information to automatically alert the physician and care provider with the status of the patients. A series of simulations are performed for scenarios including children and adult care. The simulation results show that the proposed framework is capable of providing a cross-platform solution for patient monitoring in smart care facilities.
机译:智能健康应用越来越多地用于各种医疗保健环境。深神经网络提供了复杂环境的视觉解释能力。提供智能健康和智能护理服务的重要组成部分,是耐心监测和远程临床决策管理。在本文中,提出了一种深度学习的智能护理设施的患者监测和临床决策管理系统。所提出的跨平台电子管理系统是医疗商业智能框架的一部分,能够帮助提供各种警报,建议,数据分析和仪表板的护理提供商,以便更好地对智能护理设施中的情况进行响应。所提出的系统处理包括视觉信息的各种信息,以自动提醒医师和护理提供者与患者的状态。为包括儿童和成人护理的情景进行了一系列模拟。仿真结果表明,该框架能够为智能护理设施中的患者监测提供跨平台解决方案。

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