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US 2021/0004480 A1Published application
Data management method, apparatus and system for machine learning system
AssigneeHitachi, Ltd.
InventorMika TAKATA
Life of this patent
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AssigneeHitachi, Ltd.
InventorMika TAKATA
Estimating the term…
Example implementations described herein are directed to systems and methods for selecting appropriate data samples and features in an access and privacy restricted system. Example implementations involve selection of appropriate samples (e.g. patients) which have enough data sources bringing highly important factors based on the experienced risk factors at other facilities, which is stored as metadata. The risk factor management puts more prioritization on some patients which have more data in the required data source than the other patients among all data sample candidates. The similarity of the training data sample can be a criteria to select new sample sets. Further, the risk factor management selects valuable features effectively based on metadata derived from other facilities. Example implementations help improve machine learning accuracy as part of daily system management in a facility, and can be deployed across facilities without compromising access or privacy restrictions of the data.
A method to generate a trained model for first privacy protected data associated with a first facility, the method comprising:
A non-transitory computer readable medium, storing instructions to generate a trained model for first privacy protected data associated with a first facility, the instructions comprising:
An apparatus configured to generate a trained model for first privacy protected data associated with a first facility, the apparatus comprising:
Dependencies are inferred from the claim text.