首页> 外国专利> Method for classifying data sets i.e. time course of ECG, that describe hygienic condition of study participant, involves classifying data sets of healthy study participants as false-negative datasets using probability process

Method for classifying data sets i.e. time course of ECG, that describe hygienic condition of study participant, involves classifying data sets of healthy study participants as false-negative datasets using probability process

机译:描述研究参与者卫生状况的数据集即ECG时程的分类方法涉及使用概率过程将健康研究参与者的数据集分类为假阴性数据集

摘要

The method involves classifying data sets of healthy study participants from multiple data sets (1) as false-negative datasets and a data set of diseased study participants as false-positive datasets using a probability process. The data sets are stored in different locations according to the classification. Diseases and severity of diseases are differentiated. Each data set is provided with a flag, in which the classification result is stored. The false-positive datasets are manually evaluated by a doctor. An independent claim is also included for a computer implemented system for classifying a data set.
机译:该方法涉及使用概率过程将来自多个数据集(1)的健康研究参与者的数据集分类为假阴性数据集,将患病研究参与者的数据集分类为假阳性数据集。数据集根据分类存储在不同的位置。疾病和疾病的严重程度有所不同。每个数据集都有一个标志,其中存储了分类结果。假阳性数据集由医生手动评估。还包括用于对数据集进行分类的计算机实现的系统的独立权利要求。

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