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Joint detection method for drug name and adverse drug reaction in web text

A network text, adverse reaction technology, applied in the field of text processing, can solve the problems of inability to learn high-quality text context information, difficult to learn high-quality tweet representation, unable to model words, etc.

Pending Publication Date: 2022-05-13
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, these methods struggle to learn high-quality tweet representations from words due to the large number of misspellings and user-created out-of-vocabulary abbreviations
In addition, these methods cannot model the interaction between words in tweets, and cannot learn contextual information of texts with high quality.

Method used

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  • Joint detection method for drug name and adverse drug reaction in web text
  • Joint detection method for drug name and adverse drug reaction in web text
  • Joint detection method for drug name and adverse drug reaction in web text

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Embodiment Construction

[0061] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0062] The following describes the joint detection method of drug names and adverse drug reactions in the network text of the embodiment of the present application with reference to the accompanying drawings.

[0063] Before introducing the combined detection method of drug names and adverse drug reactions in the network text of the embodiment of the present application, a brief introduction to the current related problems is given.

[0064] First, web texts are often very noisy and informal, and full of misspellings and use...

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Abstract

The invention relates to the technical field of text processing, in particular to a joint detection method for drug names and adverse drug reactions in web texts, and the method comprises the following steps: extracting local context information of the web texts to obtain local context representations of words in the web texts; extracting global context information of the web text to obtain global context representation of the web text; and based on the local context representation and the global context representation, utilizing a pre-trained classification model to identify an actual category of the web text, and obtaining a detection effect of the drug name and the adverse drug reaction in the web text according to the actual category. Therefore, the detection effect of the drug name and the adverse drug reaction in the web text is effectively improved.

Description

technical field [0001] The present application relates to the technical field of text processing, in particular to a method for joint detection of drug names and adverse drug reactions in network texts. Background technique [0002] Large-scale automatic detection of web texts mentioning drug names and adverse drug reactions is an important task in the fields of natural language processing and data mining with many important applications. Traditional adverse drug reaction detection methods focus on electronic health records and clinical reports, but electronic health records and clinical reports on specific adverse drug reactions are not rich and difficult to collect, so it is difficult to establish a robust adverse drug reaction based on electronic health records and clinical reports. Reaction Detection Model. At the same time, adverse drug reactions covered by electronic health records and clinical reports are also very limited. [0003] The task of detecting drug names ...

Claims

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Application Information

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IPC IPC(8): G06F40/211G06N3/04G06N3/08
CPCG06F40/211G06N3/049G06N3/08G06N3/045
Inventor 黄永峰黄颖卓齐涛何亮
Owner TSINGHUA UNIV
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