Drug adverse reaction data mining method based on decision-making tree

An adverse reaction and data mining technology, applied in the field of disease analysis, can solve problems such as lack of methodology and insufficient data mining of adverse drug reaction information, and achieve the effect of improving accuracy and reducing the possibility of system blockage.

Pending Publication Date: 2020-11-03
吴嘉瑞
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Problems solved by technology

However, due to the lack of methodology, the current adverse drug reaction informati

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  • Drug adverse reaction data mining method based on decision-making tree
  • Drug adverse reaction data mining method based on decision-making tree
  • Drug adverse reaction data mining method based on decision-making tree

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] like figure 1 As shown, the method includes the following steps:

[0043] One of the technical solutions of the present invention provides a decision tree-based data mining method for adverse drug reactions. The method includes:

[0044] S100. Obtain case information based on adverse reactions of the same drug, and establish a case database.

[0045] Among them, specifically:

[0046] The collection of case information includes the collection of orig...

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Abstract

The invention discloses a drug adverse reaction data mining method based on a decision-making tree. The method comprises the steps of obtaining case information based on adverse reactions of the samemedicine, and establishing a case database; obtaining database fields related to the adverse reactions, and performing data generalization processing; and selecting clinical diagnosis as class label attributes, constructing the a decision-making tree, performing training data set classification research, and obtaining a model graph of the decision-making tree. According to the drug adverse reaction data mining method based on a decision-making tree provided by the invention, a decision-making tree method is applied to adverse drug reactions for data mining, and the correlation between the adverse reactions and the gender, age, allergy history, drug dosage form, dosage and the like of a patient is explored in mass data. The constructed decision-making tree improves the processing accuracy of data streams and reduces the possibility of system congestion.

Description

technical field [0001] The invention belongs to the field of disease analysis, in particular to a data mining method for adverse drug reactions based on a decision tree. Background technique [0002] At present, with the continuous increase in the monitoring of adverse drug reactions, massive adverse drug reaction data are emerging. The analysis of these data is of great value in comprehensively, scientifically and objectively understanding the occurrence regularity of adverse drug reactions and preventing adverse reactions. However, due to the lack of methodology, the current adverse drug reaction information has not been fully explored, and a breakthrough in methodology is urgently needed. This patent uses the decision tree algorithm in the classification algorithm as the core technology, and integrates database technologies such as data specification and generalization to form a new data mining mode for adverse drug reactions. Contents of the invention [0003] In ord...

Claims

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Application Information

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IPC IPC(8): G16H10/40G16H50/70G06K9/62
CPCG16H10/40G16H50/70G06F18/24323
Inventor 吴嘉瑞冯秋红崔盈盈张冰
Owner 吴嘉瑞
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