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Screening method for false association signals in pooled drug adverse reaction reporting data

A technology for adverse reactions and screening methods, applied in the field of signal screening, can solve problems such as false correlation signals, and achieve the effect of improving data quality, improving accuracy and efficiency, and having broad application prospects

Active Publication Date: 2022-03-15
NANJING UNIV OF POSTS & TELECOMM
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  • Claims
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Problems solved by technology

[0004] Regarding the excavation and analysis of adverse reaction signals of combined drugs, there is currently no unified standard in the world. There are relatively few studies of this type
The current data splitting method commonly used at home and abroad is to completely correlate all drugs in a combined medication report with all adverse reactions, but in such a data processing method, there must be false correlation signals

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  • Screening method for false association signals in pooled drug adverse reaction reporting data
  • Screening method for false association signals in pooled drug adverse reaction reporting data
  • Screening method for false association signals in pooled drug adverse reaction reporting data

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Embodiment Construction

[0048] Such as Figure 1 ~ Figure 4 As shown, the present invention discloses a screening method for false association signals in the combined drug adverse reaction report data, comprising the following steps:

[0049] S1. Data acquisition and preprocessing step, acquiring ADR data, and standardizing adverse reaction names and drug names in the ADR data.

[0050] The ADR data mentioned here is the ADR data of the national center.

[0051] S2, the data splitting step, splitting the reports of multiple drugs, multiple adverse reactions and single drug, multiple adverse reactions in the preprocessed ADR data into one-to-one single corresponding combinations.

[0052] Specifically, it includes first separating the combined drug data and single drug data in the ADR data, and splitting the n adverse reactions caused by single drug one-to-one into n drug-adverse reaction combinations, and then dividing the i drug-adverse reaction combinations Drugs and j adverse reactions are split...

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Abstract

The present invention discloses a method for screening false correlation signals in combined adverse drug reaction report data, comprising the following steps: S1, data acquisition and preprocessing steps, obtaining ADR data and performing standardized processing; S2, data splitting steps, Split the data into a single corresponding combination; S3, frequency statistics and analysis steps, count the frequency of occurrence of each combination in the data and perform correlation analysis; S4, steps for establishing a simple false association model, establish a simple false association model; S5 1. Steps for establishing a proportional imbalance model of false related signals, establishing a proportional imbalance model of false related signals; S6, a signal detection step, performing signal detection on the data before and after optimization; S7, an effectiveness evaluation step, effectively screening the false related signals of combined drugs Performance evaluation, to judge the effect of signal detection before and after screening. The invention can improve the data quality of combined medication, and improve the accuracy and efficiency of adverse reaction signal detection.

Description

technical field [0001] The invention relates to a signal screening method, in particular to a screening method for false correlation signals in combined adverse drug reaction report data, which belongs to the field of drug safety data mining. Background technique [0002] For a long time, drug interaction has been an important issue in drug safety, and it is also a difficult problem in the detection of adverse drug reaction (Adverse Drug Reaction, ADR) signal. According to the statistics of the US Food and Drug Administration (Food and Drug Administration, FDA): the proportion of adverse reactions caused by drug interactions is between 6% and 30%. [0003] Safety monitoring of interactions between different drugs is extremely challenging from a practical standpoint. This is because in the actual clinical use process, the combination of drugs is frequent and there are a large number of unpredictable drug combinations, which make the report combinations in the spontaneous rep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H70/40G16H50/70
CPCG16H50/70G16H70/40
Inventor 魏建香张亚楠刘美含
Owner NANJING UNIV OF POSTS & TELECOMM