Drug pair adverse reaction prediction method based on drug dependence

A technology of adverse reactions and prediction methods, applied in the direction of drug reference, based on specific mathematical models, complex mathematical operations, etc., can solve problems such as drug dependence factors that are not considered

Active Publication Date: 2021-02-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0006] The above methods have laid a good foundation for the prediction of drug-pair adverse reactions, but t

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  • Drug pair adverse reaction prediction method based on drug dependence
  • Drug pair adverse reaction prediction method based on drug dependence
  • Drug pair adverse reaction prediction method based on drug dependence

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Embodiment Construction

[0049] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0050] Such as figure 1 and figure 2 As shown, this drug dependence-based drug pair adverse reaction prediction method includes the following steps:

[0051] S1. Collect drug-to-adverse reaction relationship data, drug structure data and side effect data;

[0052] S2. Construct a basic model for predicting drug-pair adverse reactions based on attribute supervision based on drug-pair adverse reaction relationship data, dr...

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Abstract

The invention discloses a drug pair adverse reaction prediction method based on drug dependence. The drug pair adverse reaction prediction method comprises the following steps: S1, collecting drug pair adverse reaction relationship data, drug structure data and side effect data; s2, constructing a drug pair adverse reaction prediction basic model based on attribute supervision; s3, constructing adrug pair adverse reaction prediction model based on drug dependence; and S4, adopting the drug pair adverse reaction prediction model based on drug dependence to perform adverse reaction prediction on the drug pair with the unknown adverse reaction relationship collected in the step S1. According to the method, model training is carried out through known adverse reaction relationship data of drugpairs, structural data of drugs and side effect data, so that adverse reactions of drug pairs with unknown adverse reaction relationships in a data set can be predicted, and potential adverse reaction drug pairs can be found; and data support is provided for research on adverse reactions of drug pairs and research on safety of new drugs based on a biological experiment method.

Description

technical field [0001] The invention relates to the field of drug pair adverse reactions, in particular to a method for predicting drug pair adverse reactions based on drug dependence. Background technique [0002] Drugs can produce adverse reactions that are harmful to the human body during the treatment of diseases. Drug-pair adverse reactions refer to the fact that the pharmacological effects of one drug are destroyed by the other drug during the co-administration of two drugs, resulting in negative and harmful adverse reactions to the human body. For example, clinically, aspirin (Aspirin, antipyretic and analgesic) and warfarin (Warfarin, blood-thinning drug) used together can cause adverse reactions such as gastrointestinal bleeding and urinary tract bleeding, Zidovudine (Zidovudine, anti-AIDS drug ) and acyclovir (Acyclovir, a drug for treating herpes) can cause adverse reactions such as nausea, vomiting, renal insufficiency, and drowsiness. Although new drugs have b...

Claims

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Application Information

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IPC IPC(8): G16H70/40G06F17/18G06F17/16G06N7/00
CPCG16H70/40G06F17/18G06F17/16G06N7/01
Inventor 朱嘉静刘勇国杨尚明李巧勤
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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