Structured and unstructured data-driven classification
AssigneeN-Power Medicine, Inc.
InventorsJoseph Nathaniel Paulson, Nils Gustav Thomas Bengtsson, Christer Svedman
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Abstract
In some aspects, the disclosure is directed to methods and systems for classification and selection of entities based on associated structured and unstructured data. Implementations leverage correlations and relationships between structured and unstructured data to generate metadata or structure for the unstructured data, and/or provide entity classification based on any and all associated structured and unstructured data.
Claims20
A method for unstructured and structured data-driven classification, comprising:
- receiving, by a computer system, a first set of structured data comprising a plurality of data values having corresponding metadata, and a second set of unstructured data comprising a second plurality of data values lacking corresponding metadata,
- wherein one or more data values of the first set of structured data and one or more data values of the second set of unstructured data are associated with the same unique identifier of a plurality of unique identifiers;
- determining, by the computer system, a score for each unique identifier based on the associated structured data and unstructured data;
- and
- classifying, by the computer system, each unique identifier as belonging to (i) a first subset based on the respective score being below a first threshold, (ii) a second subset based on the respective score being above the first threshold and below a second threshold, or (iii) a third subset based on the respective score being above the second threshold.
A system for unstructured and structured data-driven classification, comprising:
- a computer system comprising one or more processors and one or more memory devices;
- wherein the one or more processors are configured to:
- retrieve, from the one or more memory devices, a first set of structured data comprising a plurality of data values having corresponding metadata, and a second set of unstructured data comprising a second plurality of data values lacking corresponding metadata,
- wherein one or more data values of the first set of structured data and one or more data values of the second set of unstructured data are associated with the same unique identifier of a plurality of unique identifiers,
- determine a score for each unique identifier based on the associated structured data and unstructured data, and
- classify each unique identifier as belonging to (i) a first subset based on the respective score being below a first threshold, (ii) a second subset based on the respective score being above the first threshold and below a second threshold, or (iii) a third subset based on the respective score being above the second threshold.
Dependencies are inferred from the claim text.