Text processing apparatus and method
AssigneeCanon Medical Systems Corporation
InventorsAlison O'NEIL, Matus FALIS
Life of this patent
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Abstract
An apparatus for medical text processing comprises processing circuitry configured to: obtain a trained model, wherein the trained model is trained to classify medical text documents with a medical classification code; apply the trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the weightings are associated with the medical classification code; and use the weightings to perform a searching or indexing process.
Claims20
An apparatus for medical text processing comprising processing circuitry configured to:
- obtain a trained model, wherein the trained model is trained to classify medical text documents with a medical classification code;
- apply the trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the weightings are associated with the medical classification code;
- and
- use the weightings to perform a searching or indexing process.
An apparatus for medical text processing comprising processing circuitry configured to:
- obtain a list of keywords associated with the medical classification code, wherein the list of keywords has been obtained by applying a trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the trained model is trained to classify medical text documents with a medical classification code, and wherein the weightings are associated with the medical classification code;
- and perform a searching process comprising:
- receiving at least one further medical text document for search;
- receiving a query term for search;
- specifying that the medical classification code is associated with the query term;
- and
- finding a text portion in the at least one further medical text document, the text portion comprising a keyword of the list of keywords, wherein the keyword is not identical to the query term.
A method comprising:
- obtaining a trained model, wherein the trained model is trained to classify medical text documents with a medical classification code;
- applying the trained model to at least one medical text document to obtain weightings for text terms included in the at least one medical text document, wherein the weightings are associated with the medical classification code;
- and
- using the weightings to perform a searching or indexing process.
Dependencies are inferred from the claim text.