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公开(公告)号:US20240407734A1
公开(公告)日:2024-12-12
申请号:US18737588
申请日:2024-06-07
Applicant: Dexcom, Inc.
Inventor: Jee Hye PARK , Spencer Troy FRANK , David A. PRICE , Charles R. STROYECK , Arunachalam PANCH SANTHANAM , Joseph J. BAKER , Peter C. SIMPSON , Kazanna C. HAMES , Qi AN , Abdulrahman JBAILY , Justin Yi-Kai LEE , Stephanie Grace MOORE
Abstract: A method for predicting disease is provided. The method includes generating biased analyte data by adding analyte sensor bias to historical analyte data, associating the biased analyte data with clinical disease diagnoses associated with the historical analyte data, and extracting features from the biased analyte data. The method further includes, for each model of a number of models, generating disease predictions based on different combinations of the features extracted from the biased analyte data, and evaluating the disease predictions based on the clinical disease diagnoses associated with the biased analyte data. The method further includes selecting a model and a combination of features based on a performance metric and a robustness metric.
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公开(公告)号:US20240156395A1
公开(公告)日:2024-05-16
申请号:US18511729
申请日:2023-11-16
Applicant: Dexcom, Inc.
Inventor: Charles R. STROYECK , Sonya SOKOLASH , Douglas S. KANTER , Afshan KLEINHANZL , Shelbi Lyn HOWARD , Joann NHU , Maren BEAN , Kazanna C. HAMES , Lindsey FRANKLIN
IPC: A61B5/00
CPC classification number: A61B5/4343 , A61B5/7435 , A61B2560/0487
Abstract: Techniques for generating a user interface view including sensor data representative of analyte levels of a host are disclosed. In certain embodiments, a technique includes accessing sensor data including a plurality of analyte readings of the host during a plurality of time periods, wherein each analyte reading is indicative of an analyte level of the host at a respective time. The technique further includes generating a first user interface (UI) view comprising one or more UI elements based on the plurality of analyte levels of the host, and, in response to receiving a user selection of a pregnancy mode, automatically modifying a parameter of at least one UI element included in the one or more UI elements to reflect a pregnancy-specific parameter. The technique further includes generating a second UI view based on the plurality of analyte levels of the host and the pregnancy-specific parameter.
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