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Liver injury prediction method, device, equipment, medium and program product

A prediction method and technology of liver injury, applied in chemical process analysis/design, drug reference, molecular entity identification, etc., can solve the problems of large consumption of experimental materials, high cost, time and energy consumption, etc.

Inactive Publication Date: 2021-04-09
DONGZHIMEN HOSPITAL OF BEIJING UNIV OF CHINESE MEDICINE
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Problems solved by technology

[0003] Traditional pharmacology usually uses a large number of experiments to verify the liver injury caused by drug combination. However, this method consumes a lot of time and energy, and a large number of experiments also consume a large amount of experimental materials and need to provide a corresponding experimental environment. The cost is very high. high

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  • Liver injury prediction method, device, equipment, medium and program product
  • Liver injury prediction method, device, equipment, medium and program product
  • Liver injury prediction method, device, equipment, medium and program product

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Embodiment Construction

[0073] The solutions in the embodiments provided in the present application will be described below with reference to the drawings in the present application.

[0074] The terms "first" and "second" in the embodiments of the present application are used for description purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features.

[0075] First, some technical terms involved in the embodiments of the present application are introduced.

[0076] During drug therapy, there may be interactions between different drugs, so there may be some side effects that individual drugs do not, such as liver damage. The traditional research on liver injury caused by drug combination is verified through a large number of experiments, but the cost of experiments is relatively high in bot...

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Abstract

The invention provides a liver injury prediction method, which comprises the following steps: determining weights of chemical components of different drugs, inputting the chemical components of the different drugs and corresponding weights into a pre-trained liver injury prediction model to obtain a prediction result whether drug combination causes liver injury or not, and when metabolic reaction occurs in the drugs, determining the weight of the chemical components of the metabolite according to the chemical components of the metabolite so as to predict whether the metabolite causes liver injury or not. Thus, whether liver injury is caused by drug combination or not can be predicted with low cost and high reliability, reference can be provided for a wet experiment, and reference is further provided for clinical medication.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method for predicting liver damage and corresponding devices, equipment, computer-readable storage media, and computer program products. Background technique [0002] In daily life, people or other animals usually use drugs to treat some diseases. Some drugs can cause damage to human tissues and organs such as the liver while treating diseases, especially some traditional Chinese medicines and Western medicines can cause liver damage when used in combination. [0003] Traditional pharmacology usually uses a large number of experiments to verify the liver injury caused by drug combination. However, this method consumes a lot of time and energy, and a large number of experiments also consume a large amount of experimental materials and need to provide a corresponding experimental environment. The cost is very high. high. [0004] The industry urgen...

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Application Information

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IPC IPC(8): G16C20/10G16C20/20G16H70/40
CPCG16H70/40G16C20/10G16C20/20
Inventor 商洪才陈昭田贵华郑蕊孙杨潘海娥钟长鸣
Owner DONGZHIMEN HOSPITAL OF BEIJING UNIV OF CHINESE MEDICINE
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