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GENERATION OF CONTINUOUS MATHEMATICAL MODELS FOR HEALTH CARE APPLICATIONS

机译:保健应用的连续数学模型的生成

摘要

A method for generating a continuous mathematical model of a feature common to subjects in a subject group includes selecting a sample data set from each subject in the subject group, selecting a set of expansion functions to be used in the representation of the sample data set, mathematically expanding each member of the sample data set in the form of a summation of results of multiplying each the expansion function in the set of expansion functions by a different mathematical parameter wherein the expanding determines a value for each of the different mathematical parameters, deriving a corresponding distribution function for each of the mathematical parameters, and generating the continuous mathematical model of the feature from the derived distribution functions and the expansion functions. In this way, the model is continuous in time, incorporates dependencies between various parameters, and allows for creation of simulated subjects having pertinent features occurring in real subjects.
机译:一种用于生成对象组中的对象共有的特征的连续数学模型的方法,包括:从对象组中的每个对象中选择样本数据集;选择要在样本数据集表示中使用的一组扩展函数;以以下方式对样本数据集的每个成员进行数学扩展:将扩展函数集中的每个扩展函数乘以不同的数学参数所得结果的总和,其中扩展确定每个不同数学参数的值,得出每个数学参数对应的分布函数,并根据导出的分布函数和扩展函数生成特征的连续数学模型。以这种方式,该模型在时间上是连续的,并结合了各种参数之间的依赖性,并且允许创建具有在真实对象中出现的相关特征的模拟对象。

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