Medical text recognition method and sentence recognition model training method

A sentence recognition and text recognition technology, applied in the medical field, can solve problems such as the unsatisfactory way of extracting text, and achieve the effect of improving recognition efficiency and accuracy

Active Publication Date: 2019-01-29
北京惠每云科技有限公司
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] In related technologies, text recognition is usually used to extract ...

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

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Embodiment Construction

[0032] 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.

[0033] In order to improve the processing efficiency...

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Abstract

The invention provides a medical text recognition method and a sentence recognition model training method, which relate to the medical field. The medical text recognition method includes steps of first obtaining a feature code to be recognized corresponding to a sentence to be recognized in a medical text; then the feature code to be recognize and the reference results are input into the train sentence recognition model as input quantities, to determine a similarity between the feature code to be identified and each reference result; at last, the reference result with the high similarity withthe feature code to be recognized is output as the recognition result of the sentence to be recognize, and the tree hierarchy subordination relation of the sentence to be recognized and the pluralityof reference results are simultaneously adopted as input, so that the overall recognition efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a medical text recognition method and a sentence recognition model training method. 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 text recognition metho...

Claims

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Application Information

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IPC IPC(8): G06F17/22G06F17/27
CPCG06F40/194G06F40/279
Inventor 张奇
Owner 北京惠每云科技有限公司
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