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Wellness Engineering for better quality of life of aging baby boomer

机译:健康工程可改善婴儿潮一代的生活质量

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Current health care system serving 78M aging baby-boomers is no longer sustainable, as the cost about 1/5 GDP will reach 1/4 GDT when all is retired in decades, unless the system is changed. We design a high-tech safe net to enhance the timeliness of early correct treatment execution (otherwise, causing 1/4 mortality associated with an escalating legal fee waste). We follow the common sense that "a stitch in time saves nine," and adopt the military surveillance know-how in designing early warning health management system, comprising of smart sensor pairs for point-care surveillance. However, the grand plan of affordable smart sensors hardware for households requires an ODM & OEM teaming to conduct parallel designing and sequential marketing strategy. The military software strategy combating a treacherous adversary enemy match well with point cares surveillance overcoming real world microorganism variability. Moreover, such smart military software provides self-reference change detection, not by traditional cohort ensemble average, but by individual own higher order statistics (HOS) independent component analysis (ICA), which take the advantage of known initial condition for each individual and desirable over-sampling daily dynamics. The triggering of warning follows the military algorithms comprising of Receiver Operation Characteristics (ROC) and Automatic Target Recognition (ATR). To further reduce the unwanted false negative rate, a benchmarked is made against the traditional cohort-ensemble baseline average & the upper & lower bounds of variance as adopted by the gatekeepers--Medical Doctors (MD) and Nurses.
机译:为7800万衰老的婴儿潮一代提供服务的当前医疗保健系统不再可持续,因为如果数十年内全部退休,那么除非更换该系统,否则约1/5 GDP的成本将达到1/4 GDT。我们设计了一个高科技安全网,以提高及早实施正确的治疗措施的及时性(否则,将导致1/4的死亡率与不断增加的律师费浪费有关)。我们遵循“及时节省九个针刺”的常识,并在设计预警健康管理系统时采用了军事监视知识,该系统包括用于点护理监视的智能传感器对。但是,面向家庭的价格合理的智能传感器硬件的宏伟计划要求ODM和OEM团队进行并行设计和顺序营销策略。对抗叛逆对手敌人的军事软件策略与克服现实世界中微生物变异性的重点照护监控相匹配。此外,此类智能军事软件提供的自参考更改检测不是通过传统的队列总体平均,而是通过个人自身的高阶统计量(HOS)独立成分分析(ICA),这些方法利用了每个人已知的初始条件,并且可取过度采样每日动态。警告的触发遵循军事算法,包括接收器操作特征(ROC)和自动目标识别(ATR)。为了进一步减少不必要的假阴性率,针对看门人(医学博士和护士)采用的传统队列总体基线平均值和方差的上限和下限进行基准测试。

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