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Medical text recognition method and device, sentence recognition model training method and device

A technology of sentence recognition and text recognition, which is applied in the medical field and can solve problems such as unsatisfactory methods of extracting text

Pending Publication Date: 2019-02-01
北京惠每云科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In related technologies, text recognition is usually used to extract effective text from medical texts, but this method of extracting text is not ideal

Method used

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  • Medical text recognition method and device, sentence recognition model training method and device
  • Medical text recognition method and device, sentence recognition model training method and device
  • Medical text recognition method and device, sentence recognition model training method and device

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0042] In order to improve the processing efficiency...

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Abstract

The invention provides a medical text recognition method and a medical text recognition device, and a sentence recognition model training method and a medical text recognition device, which relate tothe medical field. According to the invnetion, by adopting the method of model identification, First, the medical text to be recognized is obtained, after that, the sentences to be recognized in the medical text are structurally extracted, and further obtains a plurality of characteristic words to be recognized of the sentence to be recognized, and then inputting the feature group and the possibleresult (reference result) of the feature words to be recognized into the sentence recognition model at the same time, so that the model outputs the similarity between the feature group to be recognized and each reference result, and finally, the reference result with the highest similarity with the feature group to be recognized is output as the recognition result of the sentence to be recognized, thereby completing the recognition of the medical text.

Description

technical field [0001] The invention relates to the medical field, in particular to a medical text recognition method and device, and a sentence recognition model training method and device. Background technique [0002] Through the analysis and research of existing medical data, it can play a positive role in the improvement of medical technology. However, in recent years, with the rapid development of electronic information technology, the amount of electronic medical data generated in the medical field is increasing, and the difficulty of extracting effective information from electronic medical data has also increased. Learn how to leverage big data technologies to improve efficiency in the healthcare industry. [0003] In related technologies, text recognition is usually used to extract effective text from medical texts, but this method of extracting text is not ideal. Contents of the invention [0004] The purpose of the present invention is to provide a medical tex...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F16/35
CPCG06F40/242G06F40/279Y02D10/00
Inventor 张奇
Owner 北京惠每云科技有限公司
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