首页> 外文会议>IEEE International Conference on Big Data >DeepManner: Automatically Determining Manner of Death
【24h】

DeepManner: Automatically Determining Manner of Death

机译:DeepManner:自动确定死亡方式

获取原文

摘要

Medical examiners are trained medical professional who are responsible for determining cause and manner of death (natural, accident, suicide, homicide, and undetermined). Their jurisdiction includes unexpected, violent, and unexplained deaths. The final conclusions determined by the medical examiners can have significant consequences, therefore it is important every case is handled in a consistent and unbiased fashion. We will show how modern natural language processing techniques can be used to automatically determine the manner of death from the textual descriptions of injuries, demographic info, scene description, and the microscopy results found in autopsy reports.
机译:体检医师是受过训练的医学专业人员,负责确定死亡的原因和方式(自然,意外,自杀,杀人和未定)。他们的管辖权包括意外,暴力和无法解释的死亡。体检医师确定的最终结论可能会产生重大后果,因此,以一致且无偏见的方式处理每个案件非常重要。我们将展示如何使用现代自然语言处理技术,根据伤害的文字描述,人口统计信息,场景描述以及尸检报告中的显微镜检查结果自动确定死亡的方式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号