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Prediction method and device for drug pair interaction relation and medium

A prediction method and drug technology, applied in the field of biomedicine, can solve the problem of low prediction accuracy of interaction relationship and achieve the effect of accurate interaction relationship

Pending Publication Date: 2022-06-28
中国科学院深圳理工大学筹
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method, device and storage medium for predicting the interaction relationship of drug pairs, which can solve the problem of low prediction accuracy of the interaction relationship of each drug pair in the document

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  • Prediction method and device for drug pair interaction relation and medium
  • Prediction method and device for drug pair interaction relation and medium
  • Prediction method and device for drug pair interaction relation and medium

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Embodiment Construction

[0030] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0031] It is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and / or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and / or sets thereof.

[0...

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Abstract

The embodiment of the invention is suitable for the technical field of biological medicine, and provides a prediction method and device for a drug pair interaction relationship and a medium, and the method comprises the steps: obtaining a target text; the target text comprises multiple drugs, and each drug appears at least once in the target text; respectively determining a comprehensive entity representation corresponding to each drug, wherein the comprehensive entity representation is used for describing semantic information of the corresponding drug at each position in the target text; for any drug pair in the multiple drugs, determining fusion entity representation of the drug pair according to the comprehensive entity representation of the two drugs in the drug pair; and predicting the interaction relationship of the drug pairs according to the fusion entity representation of the drug pairs. By adopting the method, the prediction accuracy of the interaction relationship of each drug pair in the document can be improved.

Description

technical field [0001] The present application belongs to the field of biomedical technology, and in particular relates to a method, device and medium for predicting the interaction relationship between drugs. Background technique [0002] Drug-Drug Interaction (DDI) prediction is an important research field in pharmacovigilance, which plays a vital role in drug virtual screening, patient treatment plans, treatment effects, and patient safety research. [0003] All current DDI predictions are based on sentence-level relations. First, the abstract or part of the textual portion of each scientific literature describing a drug is divided into sentences, each containing several drugs. Therefore, the existing work is to input each drug pair into a specific network for processing, and predict the interaction relationship between each drug pair. [0004] However, the above DDI prediction methods all deal with sentence-level drug pairs, and in practice, the interaction relationshi...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16H20/10G06F16/81G06F16/832G06F16/951G06F40/295G06F40/30G06N3/04G06N3/08
CPCG16H70/40G16H20/10G06F16/81G06F16/832G06F16/951G06F40/30G06F40/295G06N3/08G06N3/047G06N3/045
Inventor 唐继军窦明亮郗文辉郭菲
Owner 中国科学院深圳理工大学筹
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