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New Machine Learning Study Results from United States Army Institute of Surgical Research Described

机译:描述了美国陆军外科研究所的新机器学习研究结果

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Current study results from the report, "Use of advanced machine-learning techniques for noninvasivenmonitoring of hemorrhage," have been published. "Hemorrhagic shock is a leading cause of death innboth civilian and battlefield trauma. Currently available medical monitors provide measures of standardnvital signs that are insensitive and nonspecific," investigators in Fort Sam Houston, Texas report.
机译:报告“使用先进的机器学习技术对出血进行非侵入性监测”的当前研究结果已经发表。得克萨斯州休斯敦堡的调查人员说:“出血性休克是平民和战场创伤中死亡的主要原因。目前可用的医疗监护仪提供的对不敏感和非特异性的标准生命体征的测量方法。”

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