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A disease predection system using workers' health information and workplaces' noxious factors and the method thereof

机译:利用工人健康信息和工作场所有害因素的疾病预防系统及其方法

摘要

A disease prediction system and method based on health factor and worker health information that can provide information on the occurrence of harmful factors in the workplace by using intelligent information technology and predict the disease risk of services and workers, (a) Disease Performing data transfer and analysis of demand institution holdings for prediction; (b) performing information visualization to analyze the level of occurrence of harmful factors through data analysis of the priority of harmful factors according to the incidence rate in the workplace; And, (c) by using the data transferred from the demand agency for artificial intelligence learning, to prepare a composition comprising the step of predicting the risk of disease occurrence and disease risk of industrial workers according to harmful factors in the workplace, according to the occupational group By developing disease risk prediction technology, effective preventive activities for safety management in industrial sites can be achieved to secure the safety of industrial workers and improve their health level.Human, money, and time according to duplicate survey and analysis of big data Reduce waste of resources and provide new insights into occupational health.
机译:一种基于健康因素和工人健康信息的疾病预测系统和方法,可以通过使用智能信息技术提供有关工作场所有害因素发生的信息,并预测服务人员和工人的疾病风险,(a)疾病执行数据传输和分析需求机构的持股量以进行预测; (b)通过根据工作场所的发病率对有害因素的优先级进行数据分析,进行信息可视化,以分析有害因素的发生水平;并且,(c)通过使用从需求机构传输的用于人工智能学习的数据,来准备包括以下步骤的组成:根据工作场所中的有害因素来预测工业工人的疾病发生风险和疾病风险。职业群体通过开发疾病风险预测技术,可以有效地预防工业现场的安全管理活动,以确保工业工人的安全并提高其健康水平。根据大数据的重复调查和分析得出的人力,金钱和时间减少浪费资源并提供有关职业健康的新见解。

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