- Patent Title: Medical machine synthetic data and corresponding event generation
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Application No.: US16689798Application Date: 2019-11-20
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Publication No.: US11984201B2Publication Date: 2024-05-14
- Inventor: Ravi Soni , Min Zhang , Gopal B. Avinash , Venkata Ratnam Saripalli , Jiahui Guan , Dibyajyoti Pati , Zili Ma
- Applicant: GE Precision Healthcare LLC
- Applicant Address: US WI Wauwatosa
- Assignee: GE Precision Healthcare LLC
- Current Assignee: GE Precision Healthcare LLC
- Current Assignee Address: US WI Wauwatosa
- Agency: Hanley, Flight & Zimmerman, LLC
- Main IPC: G16H10/00
- IPC: G16H10/00 ; A61B5/00 ; G06F9/451 ; G06N3/044 ; G06N3/08 ; G06N20/00 ; G06N20/20 ; G16H10/60 ; G16H15/00 ; G16H40/67 ; G16H50/30

Abstract:
Systems, apparatus, instructions, and methods for medical machine time-series event data generation are disclosed. An example synthetic time series data generation apparatus is to generate a synthetic data set including multi-channel time-series data and associated annotation using a first artificial intelligence network model. The example apparatus is to analyze the synthetic data set with respect to a real data set using a second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a first classification, the example apparatus is to adjust the first artificial intelligence network model using feedback from the second artificial intelligence network model. When the second artificial intelligence network model classifies the synthetic data set as a second classification, the example apparatus is to output the synthetic data set.
Public/Granted literature
- US20200342362A1 Medical Machine Synthetic Data and Corresponding Event Generation Public/Granted day:2020-10-29
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