首页> 外国专利> SYSTEM FOR PREDICTING HEALTH DAMAGE DEPENDENT ON INTERNAL AMOUNT OF CHEMICAL SUBSTANCE, ELAPSED TIME, AND TOLERANCE OF HUMAN BODY

SYSTEM FOR PREDICTING HEALTH DAMAGE DEPENDENT ON INTERNAL AMOUNT OF CHEMICAL SUBSTANCE, ELAPSED TIME, AND TOLERANCE OF HUMAN BODY

机译:预测与人体内部化学物质,所耗时间和人体耐受性有关的健康损害的系统

摘要

PPROBLEM TO BE SOLVED: To provide a system for predicting health damage dependent on an internal amount of chemical substances, an elapsed time, and resistance of a human body. PSOLUTION: The conventional method using exposure of chemical substances to be used in industry cannot express occurrences of disease with specific numerical values and there is no method of considering factors, such as the resistance of the human body and an incubation period, so that damage by asbestos or the like cannot be predicted. There is provided a calculation system for considering factors which affect occurrences of disease, such as the elapsed time after exposure and the resistance of the living body, and satisfying a variety of conditions, in calculation of the occurrence probability of health damage by the exposure of the chemical substance. A variety of factors affecting the occurrence probability of the damage are expressed numerically, replaced by numerical values from 0 to 1 and by factors comprising a group of numerical values, and applied to a simple computational expression, so that a specific and quantitative damage prediction result is calculated. PCOPYRIGHT: (C)2010,JPO&INPIT
机译:

要解决的问题:提供一种根据化学物质的内部含量,经过的时间和人体抵抗力来预测健康损害的系统。

解决方案:工业中使用化学物质暴露的常规方法无法表达具有特定数值的疾病的发生,并且没有考虑人体抵抗力和潜伏期等因素的方法,因此无法预测石棉等造成的损害。提供了一种计算系统,该计算系统在计算因暴露于健康引起的健康损害的发生概率时,考虑到影响疾病发生的因素,例如暴露后经过的时间和生物体的抵抗力,并且满足多种条件。化学物质。用数字表示影响损坏发生概率的各种因素,将其替换为从0到1的数值以及由一组数值组成的因素,然后将其应用到简单的计算表达式中,从而得出特定且定量的损坏预测结果计算。

版权:(C)2010,日本特许厅&INPIT

著录项

  • 公开/公告号JP2010073178A

    专利类型

  • 公开/公告日2010-04-02

    原文格式PDF

  • 申请/专利权人 RISK ANALYSIS LABORATORY CO LTD;

    申请/专利号JP20080266880

  • 发明设计人 MARUYAMA WAKAE;

    申请日2008-09-16

  • 分类号G06Q50/00;

  • 国家 JP

  • 入库时间 2022-08-21 19:02:37

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