Digestive endoscopy report structuralization method and system based on deep learning

Abstract

The invention provides a gastroendoscope report structuring method and system based on deep learning, and the method comprises the steps: obtaining gastroendoscope report data, and marking the data; performing word vector and document matrix representation on the acquired digestive endoscopy report information; modeling the constructed word representation vector and the constructed document representation matrix by using a bidirectional long-short-term memory model in combination with a document context; using a conditional random field to identify and label report information needing to be structured for the word vector based on context coding; and matching the identification and extraction results with a pre-constructed structured template, constructing a key value pair relationship by the structured template based on different disease information and lesion part information in the historical data, and obtaining a final structured result according to the matched template. According to the invention, the structuralization of the digestive endoscopy report can be realized.

Description

technical field [0001] The disclosure belongs to the field of natural language processing, and relates to a method and system for structuring digestive endoscopy reports based on deep learning. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] At present, the informatization of hospitals is in full swing and in the process of flourishing. It not only changes the traditional management mode of many hospitals, but also is the inevitable trend of the development of modern hospitals. Therefore, how to effectively utilize the electronic medical information stored in the hospital information system has become a hot issue that researchers are concerned about, and many systems and methods for medical information structuring such as electronic medical records have been proposed and used. [0004] However, although they are both medical texts, diffe...

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Problems solved by technology

[0004] However, although they are both medical texts, different medical texts focus on different content, and the information that needs to be extracted and structured in the text is also quite different. It is difficult to have a universal structuring method

As a comprehensive report, the digestive endoscopy report contains not only the patient's condition information, but also a detailed description of the location and condition of the lesion. It is quite different from other medical reports and electronic medical information. The existing structure methods are difficult to apply

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