Patent ID: 11941502
Assignee: OPTUM SERVICES (IRELAND) LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. One or more non-transitory computer readable storage media including instructions that, when executed by one or more processors, cause the one or more processors to:
receive a plurality of data records from a data source, each data record of the plurality of data records comprising a feature vector comprising (i) a plurality of predictor variables and (ii) a plurality of corresponding predictor variable values;
for each data record of the plurality of data records,
apply a first machine learning model that is trained with a true data set and an adversarial data set to the data record to generate an output that represents a probability that the data record belongs to a distribution represented by the true data set; and
responsive to determining that the output is not a first successful output, sequentially apply one or more subsequent machine learning models of a plurality of subsequent machine learning models to the data record until a second successful output is obtained, wherein (i) the one or more subsequent machine learning models are iteratively generated based on an updated true data set and an updated adversarial data set, (ii) the updated true data set is without a true data set column, (iii) the updated adversarial data set is without an adversarial data set column, and (iv) the true data set column and the adversarial data set column are associated with a predictive variable of an immediately preceding subsequent machine learning model having a highest feature importance for distinguishing the true data set from the adversarial data set; and

output an indication that the plurality of data records contains at least one anomalous data record based at least in part on the second successful output.