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

机译:通过对患者监控视频的深入解读,实现智能医疗设施的跨平台电子管理

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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:智能医疗应用越来越多地用于各种医疗环境中。深度神经网络提供了可视化解释复杂环境的能力。提供智能健康和智能护理服务的重要部分是患者监视和远程临床决策管理。本文提出了一种基于深度学习的智能护理设施患者监测和临床决策管理系统。拟议的跨平台电子管理系统是医疗商业智能框架的一部分,该框架能够帮助护理提供者提供各种警报,建议,数据分析和仪表板,以更好地响应智能护理设施中的情况。所提出的系统处理各种信息,包括视觉信息,以自动向医生和护理提供者警告患者的状况。针对包括儿童和成人护理在内的场景进行了一系列模拟。仿真结果表明,所提出的框架能够为智能护理设施中的患者监测提供跨平台的解决方案。

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