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Entity recognition method for naming liver cancer pathological text

An entity recognition and named entity technology, which can be used in text database clustering/classification, unstructured text data retrieval, medical data mining, etc. It can solve the problems of energy consumption and low efficiency.

Pending Publication Date: 2021-11-09
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

In traditional clinical diagnosis, doctors want to understand the pathological state of patients by extracting information from pathological texts by themselves, which not only consumes a lot of energy but is also inefficient

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  • Entity recognition method for naming liver cancer pathological text
  • Entity recognition method for naming liver cancer pathological text
  • Entity recognition method for naming liver cancer pathological text

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Embodiment Construction

[0031] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] An entity recognition method for liver cancer pathology text naming, such as figure 1 As shown, the method includes: obtaining liver cancer pathological text information in real time, and preprocessing the text information; inputting the preprocessed text information into the trained liver cancer pathological text named entity model, and obtaining the recognition result of liver cancer pathological text information; The recognition results classify and ...

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Abstract

The invention belongs to the field of natural language processing, and particularly relates to an entity recognition method for naming liver cancer pathological texts, which comprises the following steps: acquiring liver cancer pathology text information in real time, and preprocessing the text information; inputting the preprocessed text information into the trained liver cancer pathology text named entity model to obtain a liver cancer pathology text information recognition result; classifying and marking the liver cancer pathology text information according to an identification result. According to the invention, ten types of key entities of the liver cancer pathological text can be accurately recognized and extracted, and the entity recognition effect is good.

Description

technical field [0001] The invention belongs to the fields of systematic annotation knowledge base of liver cancer, named entity recognition and natural language processing, and in particular relates to an entity recognition method for naming liver cancer pathological texts. Background technique [0002] Systematic annotation knowledge base for liver cancer: refer to authoritative diagnosis and treatment normative documents, and build a systematic annotation knowledge base for liver cancer after in-depth understanding of business scenarios. The annotation knowledge base includes detailed descriptions and document sources for liver cancer-related entities and entity attributes. [0003] Named entity recognition: Named entity recognition is to structure the entities contained in the text into a table-like organization. The input to the named entity recognition system is raw text, and the output is fixed-format entities; entities are extracted from various documents, and then i...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F16/35G06N20/20G16H50/70
CPCG06F40/295G06F16/35G06N20/20G16H50/70
Inventor 胡峰何晓莲张清华高满邓纬斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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