Patent ID: 11954610
Assignee: GE PRECISION HEALTHCARE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a model deployment module that processes data samples received in a target domain, wherein the processing comprises, iteratively:
receiving a data sample of the data samples in the target domain;
determining, using a scope machine learning model, a confidence score for the data sample representative of a degree of confidence that a primary machine learning (ML) model will generate an accurate inference based on the data sample, wherein the primary ML model was trained on a training dataset associated with a source domain different from the target domain, and wherein the training dataset does not comprise the data samples received in the target domain;
in response to determining that the confidence score meets a threshold score, employing the primary ML model to generate an inference based on relative to the data sample; and
in response to determining that the confidence score does not meet the threshold score:
adding the data sample to a new training dataset associated with the target domain, and
in response to the new training dataset satisfying a defined criterion, training on the new training dataset to generate the inferences, resulting in the primary ML model on the new training dataset to generate the inferences, resulting in a domain adapted version of the primary ML model.