公开(公告)号：US11580422B1

公开(公告)日：2023-02-14

申请号：US16818804

申请日：2020-03-13

Applicant: Google LLC

Inventor： Peter Wubbels ,  Tyler Rhodes ,  Jin Zhang ,  Kira Whitehouse ,  Rohan Ganeshananthan

IPC: G06N5/04 ,  G16H30/40 ,  G16H50/20 ,  G06N20/00

Abstract: Machine learning models used in medical diagnosis should be validated after being deployed in order to reduce the number of misdiagnoses. Validation processes presented here assess a performance of the machine learning model post-deployment. In post-deployment validation, the validation process monitoring can include: (1) monitoring to ensure a model performs as well as a reference member such as another machine learning model, and (2) monitoring to detect anomalies in data. This post-deployment validation helps identify low-performing models that are already deployed, so that relevant parties can quickly take action to improve either the machine learning model or the input data.