首页> 外国专利> STATEMENT OF DIFFERENTIAL DIAGNOSIS SYSTEM BASED ON DIAGNOSIS, help results of clinical studies for integration into Automated Medical information systems, Differentiation RECORDING RESULTS OF CLINICAL STUDIES FOR INTEGRATION IN AUTOMATED MEDICAL INFORMATION SYSTEMS AND DIFFERENTIAL DIAGNOSTIC FRAMEWORK FOR INTEGRATION IN AUTOMATED MEDICAL INFORMATION SYSTEMS

STATEMENT OF DIFFERENTIAL DIAGNOSIS SYSTEM BASED ON DIAGNOSIS, help results of clinical studies for integration into Automated Medical information systems, Differentiation RECORDING RESULTS OF CLINICAL STUDIES FOR INTEGRATION IN AUTOMATED MEDICAL INFORMATION SYSTEMS AND DIFFERENTIAL DIAGNOSTIC FRAMEWORK FOR INTEGRATION IN AUTOMATED MEDICAL INFORMATION SYSTEMS

机译:基于诊断的差异诊断系统的声明,有助于将临床研究结果集成到自动化医学信息系统中,帮助将临床医学研究的差异记录结果用于自动化医学信息系统中的方法以及用于诊断医学框架以用于自动化医学信息系统中的方法

摘要

The invention relates to medicine. Differential-diagnostic matrix is ​​designed for integration into automated medical information systems. This matrix represents a processing node connected to a common bus is used to connect a database of diagnoses, the help system of the structured database subsystems clinical symptoms characteristic data, anatomical objects, information about the location of anatomical sites and clinical indicators of severity, and input and registration system results of clinical trials, in this case the unit is made with the selection function of each subsystem information coinciding with information on the results to linicheskih research based on the use of the accuracy of matching criteria, reliability criteria match, the probability criterion matches and denial criteria, and from the base selection function data diagnosis information corresponding to the at least one or more diagnoses, clinical parameters of which coincide with the logically selected information from structured databases data. 4 yl.
机译:本发明涉及药物。差分诊断矩阵旨在集成到自动化医疗信息系统中。该矩阵表示连接到公共总线的处理节点,用于连接诊断数据库,结构化数据库子系统的帮助系统,临床症状特征数据,解剖对象,有关解剖部位位置的信息以及严重程度的临床指标,以及输入和注册系统临床试验的结果,在这种情况下,该单元由每个子系统信息的选择功能组成,这些信息与结果信息相吻合,从而基于linicheskih研究的匹配标准,准确性标准,概率标准匹配和否定标准,并从基本选择功能数据中获取与至少一个或多个诊断相对应的诊断信息,其临床参数与从结构化数据库数据中逻辑选择的信息相一致。 4 yl。

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