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Drug risk assessment model based on adverse reaction monitoring report

A risk assessment model and adverse reaction technology, applied in the field of machine learning, can solve problems such as lack of systematic evaluation and lack of versatility

Pending Publication Date: 2020-02-11
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

There are researches on drugs at home and abroad, but the main concern is based on the risks of certain types of drugs, lack of systematic evaluation, and are not universal

Method used

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  • Drug risk assessment model based on adverse reaction monitoring report
  • Drug risk assessment model based on adverse reaction monitoring report
  • Drug risk assessment model based on adverse reaction monitoring report

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Embodiment Construction

[0045] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0046] Step 1) obtain original ADR database, and carry out data preprocessing;

[0047] Step 1.1)

[0048]Obtain the original ADR database, the original ADR data is obtained from the National Center for Adverse Drug Reaction Monitoring; this data is the adverse reaction report collected from the database of the National Center for Drug Evaluation’s Adverse Drug Reaction Spontaneous Reporting System from 2010 to 2011, and the data processing includes processing the original ADR database Regularize and filter data with a reporting frequency greater than or equal to 3;

[0049] Drug classification standards: (1) Combined with WHO drug classification and other methods, the drugs are classified into 30 categories for different organ damage, and there are 897 adverse reactions, each of which corresponds to different degrees of organ damage. (2) The ADR...

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Abstract

The invention proposes a risk assessment model for automatic drug risk identification after marketing. The method is based on China's adverse drug reaction ADR western medicine report data, and establishes comprehensive evaluation indicators through four indicators: FA:ADR incidence rate, FB:ADR injury index, FC:ADR coverage rate and FD:ADR severity. The drug risk value FADR is defined as the weighted sum of the above four indicators, FADR=alpha FA + beta FB + gamma FC + delta FD. An artificial bee colony algorithm ABC algorithm is used to perform simulation experiments on ADR monitoring datain China. The constraint conditions are alpha + beta + gamma + delta = 1, and alpha, beta, gamma, delta belong to (0, 1). The optimal solution of each weight and the final drug risk value FADR are acquired. The invention provides the method for quantifying the drug risk for the monitoring and management of post-marketing drug safety, and provides a convenient and reliable automatic identificationreference model for later type conversion of non-prescription drugs and prescription drugs.

Description

technical field [0001] The invention relates to a drug risk assessment method, which is specifically constructed based on western medicine data in a drug adverse reaction monitoring report, and belongs to the technical field of machine learning. Background technique [0002] In pharmacovigilance, countries around the world have established a network-based collection system for spontaneous reports of adverse drug reactions. However, the utilization and development of data resources is still insufficient, and the main research focuses on the improvement and application of signal detection methods based on imbalance analysis, comparative analysis of signal mining, and elimination of data masking effects. There are researches on drugs at home and abroad, but the main concern is based on the risks of certain types of drugs, which lack systematic evaluation and are not universal. Therefore, with the rapid increase in the number of spontaneous reports in my country, establishing a...

Claims

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Application Information

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IPC IPC(8): G16H70/40G16H10/40
CPCG16H70/40G16H10/40
Inventor 魏建香刘天宇张亚楠卢志强
Owner NANJING UNIV OF POSTS & TELECOMM