MACHINE LEARNING SYSTEMS FOR PREDICTING UNENROLLMENT IN CLAIMS PROCESSING

Abstract

A machine learning server for trained prediction of unenrollment in claim processing systems is provided. The machine learning server includes a processor configured to construct a layered neural network configured to be trained by claim features. The processor is also configured to receive historic claims. The processor is also configured to extract a set of historic claim features from the historic claim data of the historic claims. The processor is further configured to obtain the claim enrollment status associated with the sets of historic claim features. The processor is also configured to train the layered neural network with the set of historic claim features and the claim enrollment status to predict the claim enrollment status of a pending claim. The processor is further configured to receive a pending claim and to apply the pending claim features to the trained layered neural network to obtain a predicted claim enrollment status.

CPC Classifications