公开(公告)号：US20250165595A1

公开(公告)日：2025-05-22

申请号：US18951860

申请日：2024-11-19

Applicant: Alcon, Inc.

Inventor： Shruti Siva Kumar ,  Thomas E. Jackson ,  Sinchan Bhattacharya ,  Ramesh Sarangapani ,  Uma Chandrashekhar ,  Pranava Kumar Vemula

IPC: G06F21/55 ,  H04L9/40

Abstract: A system includes a machine learning (ML) engine in which a data store is coupled to a processing system. The processing system executes code to receive a dataset from the data store, and produces three models each comprising three tests. Each of the tests seeks to detect one of three anomaly types corresponding to each of the models. The processing system performs at least two of the three tests relating to each of the three anomaly types. Separately for each anomaly type, the processing system detects an anomaly when two-out-of-three (2oo3) tests conclude that the anomaly is present in the dataset. The dataset including the flagged anomalies is stored in a data repository. The anomaly is filtered from the dataset. The processing system is configured to use data from the dataset to retrain an existing trained ML model.