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HEALTH BIG DATA SERVICE METHOD AND SYSTEM BASED ON REMOTE FUNDUS SCREENING

机译:基于远程眼底筛选的健康大数据服务方法和系统

摘要

Big data health service method and system based on remote fundus screening are provided. The method includes steps of: acquiring information to be analyzed sent by remote terminal agency; pre-interpreting information to be analyzed, and judging whether information to be analyzed is qualified; extracting characteristic data from information to be analyzed if it is qualified, and forming structured quantitative index; sorting and analyzing characteristic data and quantitative index according to knowledge calculation model to obtain analysis conclusion; and storing information to be analyzed, characteristic data, quantitative index, and analysis conclusion into pre-designed database. The above steps can produce quantitative index and characteristic data with uniform comparability for final fundus images such processed, no matter what type of fundus camera or which working mode is used, so that a whole big data service platform is established, and medical practitioners are facilitated greatly in disease diagnosis and the like.
机译:提供了基于远程眼底筛选的大数据健康服务方法和系统。该方法包括以下步骤:获取通过远程终端代理发送的分析的信息;预先解释要分析的信息,并判断是否分析信息是合格的;如果有资格分析的信息,并形成结构化定量指数,请从待分析的信息中提取特征数据;根据知识计算模型排序和分析特征数据和定量指标,获得分析结论;并将要分析的信息,特征数据,定量指数和分析结论存储到预先设计的数据库中。上述步骤可以产生具有均匀可比性的定量指数和特性数据,对于最终的基底图像如此处理,无论使用什么类型的基底照相机或使用哪种工作模式,都建立了整个大数据服务平台,并且有助于医生大大在疾病诊断等中。

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