US 2026/0228576 A1 · SYSTEM AND METHOD FOR DATA IMPUTATION

Abstract

A computer system comprises a communications module; at least one processor coupled with the communications module; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to engage a trained artificial intelligence model to generate at least one prediction for a dataset; identify at least one feature in the dataset that requires imputation; determine feature values of the at least one feature that produced a neutral Shapley Additive exPlanation (SHAP) value; calculate a representative statistic from the determined feature values; and impute at least one missing data point within the at least one feature with the calculated representative statistic to create a modified dataset.

Claims20

Dependent claims

A computer system comprising:

a communications module;
at least one processor coupled with the communications module;
and
a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to:
engage a trained artificial intelligence model to generate at least one prediction for a dataset;
identify at least one feature in the dataset that requires imputation;
determine feature values of the at least one feature that produced a neutral Shapley Additive exPlanation (SHAP) value;
calculate a representative statistic from the determined feature values;
and
impute at least one missing data point within the at least one feature with the calculated representative statistic to create a modified dataset.

7 more elements

A computer-implemented method comprising:

engaging a trained artificial intelligence model to generate at least one prediction for a dataset;
identifying at least one feature in the dataset that requires imputation;
determining feature values of the at least one feature that produced a neutral Shapley Additive exPlanation (SHAP)value;
calculating a representative statistic from the determined feature values;
and
imputing at least one missing data point within the at least one feature with the calculated representative statistic to create a modified dataset.

3 more elements

Dependencies are inferred from the claim text.

System and method for data imputation

Life of this patent

System and method for data imputation

Life of this patent

Abstract

Claims20