- 专利标题: BAYESIAN FRAMEWORK FOR PERSONALIZED MODEL IDENTIFICATION AND PREDICTION OF FUTURE BLOOD GLUCOSE IN TYPE 1 DIABETES USING EASILY ACCESSIBLE PATIENT DATA
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申请号: US17454693申请日: 2021-11-12
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公开(公告)号: US20220233152A1公开(公告)日: 2022-07-28
- 发明人: Giacomo Cappon , Andrea Facchinetti , Giovanni Sparacino , Simone Del Favero
- 申请人: DexCom, Inc.
- 申请人地址: US CA San Diego
- 专利权人: DexCom, Inc.
- 当前专利权人: DexCom, Inc.
- 当前专利权人地址: US CA San Diego
- 主分类号: A61B5/00
- IPC分类号: A61B5/00 ; A61B5/145 ; G16H50/30 ; G16H50/50
摘要:
A method of predicting future blood glucose concentrations of an individual patient includes: selecting an individualized nonlinear physiological model of glucose-insulin dynamics, the selected model having a plurality of model parameters whose values are to be determined; estimating values for each of the model parameters in the plurality of model parameters, a first subset of the model parameters having values estimated from a priori population data and a second subset of the model parameters having values personalized for the individual patient by applying a parameter estimation technique to a priori information and data for the individual patient to obtain a posteriori information; and; applying a nonlinear prediction technique to the selected model using the estimated values for each of the model parameters to obtain a predicted blood glucose concentration of the individual patient at a future time.
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