Accurate temporal event predictive modeling
AssigneeInternational Business Machines Corporation
InventorsCharu C. Aggarwal, Lingtao Cao, Tan Hung M. Ng, Saket Sathe, Deepak S. Turaga
Life of this patent
Estimating the term…
Abstract
Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.
Claims20
A method for accurate temporal event predictive modeling by a processor, comprising:
- determining a reverse event delay for each of a plurality of time-series windows, wherein the reverse event delay is an amount of time between the end of the time-series window and an occurrence of a corresponding hypoglycemic event;
- determining an average reverse event delay from the plurality of reverse event delays;
- training a predictive model to predict hypoglycemic events using at least the average reverse event delay;
- and
- predicting whether a future hypoglycemic event will occur within a particular time-series window using the predictive model.
A system comprising:
- a processor configured to perform a method comprising:
- determining a reverse event delay for each of a plurality of time-series windows, wherein the reverse event delay is an amount of time between the end of the time-series window and an occurrence of a corresponding hypoglycemic event;
- determining an average reverse event delay from the plurality of reverse event delays;
- training a predictive model to predict hypoglycemic events using at least the average reverse event delay;
- and
- predicting whether a future hypoglycemic event will occur within a particular time-series window using the predictive model.
A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:
- determining a reverse event delay for each of a plurality of time-series windows, wherein the reverse event delay is an amount of time between the end of the time-series window and an occurrence of a corresponding hypoglycemic event;
- determining an average reverse event delay from the plurality of reverse event delays;
- training a predictive model to predict hypoglycemic events using at least the average reverse event delay;
- and
- predicting whether a future hypoglycemic event will occur within a particular time-series window using the predictive model.
Dependencies are inferred from the claim text.