首页> 外国专利> MEDICAL DEVICE AND COMPUTER-IMPLEMENTED METHOD OF PREDICTING RISK, OCCURRENCE OR PROGRESSION OF ADVERSE HEALTH CONDITIONS IN TEST SUBJECTS IN SUBPOPULATIONS ARBITRARILY SELECTED FROM A TOTAL POPULATION

MEDICAL DEVICE AND COMPUTER-IMPLEMENTED METHOD OF PREDICTING RISK, OCCURRENCE OR PROGRESSION OF ADVERSE HEALTH CONDITIONS IN TEST SUBJECTS IN SUBPOPULATIONS ARBITRARILY SELECTED FROM A TOTAL POPULATION

机译:预测从总人口中任意选择的亚人群测试对象不良健康状况的风险,发生或进展的医疗设备和计算机实现方法

摘要

A computer-implemented method of generating a generalized model for adaptively predicting occurrence or progression of a first adverse health condition for a first subpopulation arbitrarily selected from a total population, includes extracting information about characterizing features of a plurality of second subpopulations, about occurrences and/or severity of the first adverse health condition found therein and/or about corresponding prognostic results, from a plurality of publications. One or more of the characterizing features are associated with corresponding first factors indicating a relation with an adverse or beneficial contribution of the characterizing feature to the occurrence or progression of the first adverse health condition, and with corresponding second factors indicating the relative frequency of occurrence in the respective second subpopulation considered in the respective publication. The characterizing features and their first and second factors are combined into a generalized model for the total population, including calculating a baseline risk of patient. The generalized model is stored on a computer accessible and readable medium in a retrievable manner.
机译:一种用于生成通用模型的计算机实现的方法,该通用模型用于自适应地预测从总人口中任意选择的第一亚人群的第一不良健康状况的发生或进展,该方法包括提取有关表征多个第二亚人群的特征,有关发生和/的信息。多个出版物中发现的第一种不良健康状况的严重性和/或有关的预后结果。一个或多个表征特征与相应的第一因子相关联,所述第一因子指示表征特征对第一不利健康状况的发生或进展的不利或有益贡献,并且与相应的第二因子指示在第一不良健康状况的发生或发展中的相对频率。相应出版物中考虑的相应第二子群体。特征特征及其第一和第二因素被组合为总人口的通用模型,包括计算患者的基线风险。通用模型以可检索的方式存储在计算机可访问的可读介质中。

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