A basic study of telecommunication system development for management system of health checkup data

我们必须在事情发生之前就有一个定制的标准化的信息交换协议，并利用不同医学实验室以表格形式记录的健康检查数据。在本研究中，我运用电信系统的健康检查数据理论设计模型，在真实的信息交换中对上一年的信息进行更改，并检查了一个系统的效用和问题。结果表明，字母信息的误认率为47.5%，数字信息的误认率为6.4%。至于误认的原因，半码字母/全码字母不统一，特殊希腊字符的混合是重要的。然而，医学实验室产生的健康检查数据与计算机化前每隔几年产生的基本信息结构的差异不同，从而产生了错误识别的问题。另一方面，随着个人电脑的进一步发展，各种字体的出现，对字母、数字信息的误认造成了很大的影响。我收到了上述结果，并从2004年对上述证明结果的评估中安排了一个健康检查数据传输交换系统的实际应用问题。为了将回溯到过去的历年的个人信息和时间序列的数据联系起来，并应对随着医学不断进步而出现的新技术，提出了机构互字词典的统一性和实体性，除了准备语义词典功能外，还改变了信息，这是必不可少的。我认为我得到了通过健康检查活动获得的信件信息和数字信息的“健康数据同义词词典”，作为解决方案必不可少。有人预测，如果将现有的人工智能技术与健康信息同义词词典相结合，就有可能简化每个人的健康检查数据。少

We must get an information exchange protocol standardized in custom ready before a thing in order and to utilize health check-up data recorded in a form to be different in various medical laboratories.I applied a theory design model of telecommunication system for health check-up data in this study, and to change information of last year in real information exchange and inspected utility and problems of a system. As a result misrecognition rate of letter information was 47.5% and the misrecognilion rate of digital information was 6.4%. As for the cause of misrecognition, lack of unity of a half size letter/a full size letter, mixture of special Greek characters is important. However, a problem of misrecognition to come from the medical laboratory which generated health check-up data differing from every several years' difference of basic structure of information before computerization became clear. On the other hand, influence of an appearance of the various character fonts that the de … More velopment of a personal computer brought a letter, digital information as a cause of misrecognition together was great.I received the above-mentioned result and arranged a problem for practical use of a transmission exchange system of health check-up data from evaluation of the proof result mentioned above in 2004. That unification and substantiality of the institution mutual font dictionary which changed information in addition to preparation of a dictionary function of semantics were indispensable was suggested in order I connected individual information of the calendar year that dated back to the past and achieved of the data in time series, and to deal with the new health check-up test which appeared as new technology in progress of constantly advancing medicine.It was thought that I got letter information and "a health data synonym dictionary" of digital information derived through health check-up activity ready with being essential as a solution. It is predicted that simplification of health check-up data every an individual becomes possible by combining existing artificial intelligence technology with a healthy information synonym dictionary. Less