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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
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.
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