US2014236544A1PendingUtilityA1
Dynamic identification of the biomarkers leveraging the dynamics of the biomarker
Est. expiryFeb 19, 2033(~6.6 yrs left)· nominal 20-yr term from priority
G16H 50/50G16B 20/00G06F 19/12
57
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Claims
Abstract
A system and method for providing a temporally dynamic model parameter include building a model parameter by minimizing a loss function based on patient measurements taken at a plurality of time points. Temporally related values of the model parameter are identified, using a processor, having a same type of patient measurement taken at different time points. At least one value of the model parameter and temporally related values of the at least one value are selected to provide a temporally dynamic model parameter.
Claims
exact text as granted — not AI-modified1 . A method for providing a temporally dynamic model parameter, comprising:
building a model parameter by minimizing a loss function based on patient measurements taken at a plurality of time points; identifying temporally related values of the model parameter, using a processor, having a same type of patient measurement taken at different time points; and selecting at least one value of the model parameter and temporally related values of the at least one value to provide a temporally dynamic model parameter.
2 . The method as recited in claim 1 , wherein the same type of patient measurement includes a same biomarker.
3 . The method as recited in claim 1 , wherein selecting includes selecting all temporally related values of the at least one value.
4 . The method as recited in claim 1 , wherein identifying includes removing terms corresponding to a missing value of the model parameter at a time point.
5 . The method as recited in claim 1 , wherein the different time points include consecutive time points.
6 . The method as recited in claim 1 , further comprising predicting a patient condition using the temporally dynamic model parameter.
7 . The method as recited in claim 1 , wherein patient measurements include patient longitudinal data.
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