Ge Precision Healthcare LLC

Karley Marty Yoder

Gopal Biligeri Avinash

Venkata Ratnam Saripalli

Junpyo Hong

Keith Bigelow

Techniques are described for performing active surveillance and learning for machine learning (ML) model authoring and deployment workflows. In an embodiment, a method comprises applying, by a system comprising a processor, a primary ML model trained on a training dataset to data samples excluded from the training dataset to generate inferences based on the data samples. The method further comprises employing, by the system, one or more active surveillance techniques to regulate performance of the primary ML model in association with the applying, wherein the one or more active surveillance techniques comprise at least one of, performing a model scope evaluation of the primary ML model relative to the data samples or using a domain adapted version of the primary ML model to generate the inferences.

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Oakland, CA, United States of America

Karley Marty Yoder