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公开(公告)号:EP3337418B1
公开(公告)日:2021-10-13
申请号:EP16753899.0
申请日:2016-08-16
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公开(公告)号:EP3552179B1
公开(公告)日:2021-03-10
申请号:EP17829947.5
申请日:2017-12-08
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公开(公告)号:EP3491622A1
公开(公告)日:2019-06-05
申请号:EP17748694.1
申请日:2017-07-25
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公开(公告)号:EP3478178A1
公开(公告)日:2019-05-08
申请号:EP17739907.8
申请日:2017-06-29
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公开(公告)号:EP3423968A1
公开(公告)日:2019-01-09
申请号:EP17707906.8
申请日:2017-03-03
发明人: BYSTROV, Daniel , VIK, Torbjoern , FRANZ, Astrid, Ruth , HEESE, Harald, Sepp , WIEMKER, Rafael , KUTRA, Dominik, Benjamin
IPC分类号: G06F19/00
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公开(公告)号:EP3329403A1
公开(公告)日:2018-06-06
申请号:EP16745182.2
申请日:2016-07-18
IPC分类号: G06F19/00
CPC分类号: G06F17/30536 , G06F17/18 , G06F17/30371 , G06F19/00 , G06F19/32 , G06K9/6201 , G16H50/70
摘要: Data analysis of altered data includes analyzing (64) a test data set (14) with a data analysis technique using one or more configured processors (30) which create one or more analytical measures, and the test data set selected from an altered data set (12) according to a confidence score. At least one reliability measure of the one or more analytical measure is calculated using the configured one or more processors based on similarity of the one or more analytical measures and same analytic measures created from the data analysis technique applied to one or more reliability test data sets (16, 18) selected from the altered data set according to different confidence scores.
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公开(公告)号:EP3160328B1
公开(公告)日:2018-06-06
申请号:EP15729201.2
申请日:2015-06-19
发明人: HEINRICH, Adrienne , TATOUSEK, Jan
CPC分类号: G06F19/3418 , A61B5/1113 , A61B5/4842 , A61B5/7264 , A61B5/7267 , A61B5/7475 , G06F19/324 , G08B21/0453 , G16H40/63 , G16H40/67 , G16H50/20 , G16H50/30
摘要: The present invention relates to a device for detecting a health condition of a subject (15), comprising a data interface (12) for receiving sensor data (14) of said subject (15) and one or more disease classification parameters (16) for characterizing one or more diseases, a user interface (18) for receiving a user input (20) related to a disease activity, an analysis unit (26) for extracting one or more physiological and/or behavioral features from said received sensor data (14), an optimizer unit (28) for optimizing said one or more disease classification parameters (16) based on a correlation analysis between said one or more physiological and/or behavioral features and said user input (20), and a detection unit (30) for detecting a health condition of said subject (15) by applying said one or more disease classification parameters (16) to said one or more physiological and/or behavioral features.
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