首页> 外国专利> PREDICTING EFFICACY OF PREVENTATIVE MEASURES TO MITIGATE SPREAD OF A PATHOGEN AND ILLNESSES CAUSED THEREFROM USING MACHINE LEARNING MODELS

PREDICTING EFFICACY OF PREVENTATIVE MEASURES TO MITIGATE SPREAD OF A PATHOGEN AND ILLNESSES CAUSED THEREFROM USING MACHINE LEARNING MODELS

机译:预测防止措施减轻促进病原体和疾病的差异,使用机器学习模型

摘要

Embodiments of the present disclosure generally relate to methods for analyzing the effectiveness of preventative measures on the spread of illnesses, such as COVID-19, on living organisms. More particularly, embodiments of the present disclosure relate to methods for identifying the effectiveness of preventative measures, processes, equipment and other available data, and providing indicators and methods of visualization the effectiveness of preventative measures on the spread of an illness.
机译:本公开的实施方案一般涉及用于分析预防性措施对生物生物体等疾病传播的有效性的方法。 更具体地,本公开的实施例涉及用于识别预防性测量,工艺,设备和其他可用数据的有效性的方法,以及提供可视化的指标和方法,可视化预防措施对疾病传播的有效性。

著录项

  • 公开/公告号US2022020503A1

    专利类型

  • 公开/公告日2022-01-20

    原文格式PDF

  • 申请/专利权人 GENERAL GENOMICS INC.;

    申请/专利号US202117207485

  • 申请日2021-03-19

  • 分类号G16H50/80;G06N5/04;G06N20;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 23:24:06

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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