Predictive data analysis using image representations of categorical data to determine temporal patterns
AssigneeOptum Services (Ireland) Limited
InventorsAhmed Selim, Kieran O'Donoghue, Michael Bridges, Mostafa Bayomi
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Abstract
There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical data. In one example, embodiments comprise receiving a categorical input feature, generating an image representation of the categorical input feature, generating an image-based prediction based at least in part on the image representation, and performing one or more prediction-based actions based at least in part on the image-based prediction.
Claims20
A computer-implemented method for dynamically generating an image-based prediction, the computer-implemented method comprising:
- receiving, using one or more processors, a categorical input feature, wherein the categorical input feature comprises a plurality of character patterns for a plurality of character pattern positions, wherein each character pattern position is associated with a plurality of candidate character patterns;
- generating, using the one or more processors, an image representation of the categorical input feature, wherein:
- (i) the image representation comprises a plurality of image channel representations each associated with a character pattern position of the plurality of character pattern positions, (ii) each image channel representation comprises a plurality of image channel representation regions, (iii) each image channel representation region for an image channel representation corresponds to a candidate character pattern for the character pattern position that is associated with the image channel representation region, and (iv) generating an image channel representation that is associated with a character pattern position is determined based at least in part on the character pattern that is associated with the character pattern position for the image channel representation;
- generating, using the one or more processors, the image-based prediction based at least in part on the image representation;
- and
- performing, using the one or more processors, one or more prediction-based actions based at least in part on the image-based prediction.
An apparatus for dynamically generating an image-based prediction, the apparatus comprising one or more processors and at least one memory including program code, the at least one memory and the program code configured to, with the one or more processors, cause the apparatus to at least:
- receive a categorical input feature, wherein the categorical input feature comprises a plurality of character patterns for a plurality of character pattern positions, wherein each character pattern position is associated with a plurality of candidate character patterns;
- generate an image representation of the categorical input feature, wherein:
- (i) the image representation comprises a plurality of image channel representations each associated with a character pattern position of the plurality of character pattern positions, (ii) each image channel representation comprises a plurality of image channel representation regions, (iii) each image channel representation region for an image channel representation corresponds to a candidate character pattern for the character pattern position that is associated with the image channel representation region, and (iv) generating an image channel representation that is associated with a character pattern position is determined based at least in part on the character pattern that is associated with the character pattern position for the image channel representation;
- generate the image-based prediction based at least in part on the image representation;
- and
- perform one or more prediction-based actions based at least in part on the image-based prediction.
A computer program product for dynamically generating an image-based prediction, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:
- receive a categorical input feature, wherein the categorical input feature comprises a plurality of character patterns for a plurality of character pattern positions, wherein each character pattern position is associated with a plurality of candidate character patterns;
- generate an image representation of the categorical input feature, wherein:
- (i) the image representation comprises a plurality of image channel representations each associated with a character pattern position of the plurality of character pattern positions, (ii) each image channel representation comprises a plurality of image channel representation regions, (iii) each image channel representation region for an image channel representation corresponds to a candidate character pattern for the character pattern position that is associated with the image channel representation region, and (iv) generating an image channel representation that is associated with a character pattern position is determined based at least in part on the character pattern that is associated with the character pattern position for the image channel representation;
- generate the image-based prediction based at least in part on the image representation;
- and
- perform one or more prediction-based actions based at least in part on the image-based prediction.
Dependencies are inferred from the claim text.