Clinical medication behavior analysis system based on efficient negative sequence mining mode and working method thereof

A technology of behavior analysis and working method, which is applied in the field of clinical drug behavior analysis system, can solve the problems of negative sequence mode loss and achieve the effect of flexibility

Pending Publication Date: 2019-09-24
QILU UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To some extent, strict negative constraints can reduce the number of redundant negative candidate sequences and ensure computational efficiency, but

Method used

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  • Clinical medication behavior analysis system based on efficient negative sequence mining mode and working method thereof
  • Clinical medication behavior analysis system based on efficient negative sequence mining mode and working method thereof
  • Clinical medication behavior analysis system based on efficient negative sequence mining mode and working method thereof

Examples

Experimental program
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Example Embodiment

[0095] Example 1

[0096] A clinical medication behavior analysis system based on an efficient negative sequence mining model, such as figure 1 As shown, it includes a data acquisition system and a behavior analysis system connected through a transmission network communication;

[0097] The data acquisition system includes a data acquisition module and a data transmission module connected in sequence;

[0098] The data collection module is used to collect and save the patient's clinical medication behavior data in real time. The clinical medication behavior data includes the patient's ID number, timestamp (that is, the time of diagnosis and treatment), prescribed drugs, symptoms, symptoms, and the patient's department;

[0099] The data transmission module is used to transmit the patient's clinical medication behavior data to the behavior analysis system through the transmission network;

[0100] The behavior analysis system includes a data processing module, a data analysis module, an...

Example Embodiment

[0107] Example 2

[0108] The working method of the clinical medication behavior analysis system based on the efficient negative sequence mining mode described in embodiment 1, includes the following steps:

[0109] (1) The data collection module collects and saves the patient's clinical medication behavior data in real time. The clinical medication behavior data includes the patient's ID number, timestamp (that is, the time of diagnosis and treatment), prescribed drugs, symptoms, symptoms, and the patient's department;

[0110] Set a negative candidate sequence ns composed of drugs used by the patient; for example, set a negative candidate sequence as It means that the drugs b and d are not used, and a and c are the drugs a and b used;

[0111] Setting m-size refers to the m elements contained in the negative candidate sequence ns; for example, Is a 4-size sequence;

[0112] Set MPS(ns) to be the largest positive subsequence of the negative candidate sequence ns composed of the medi...

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Abstract

The invention relates to a clinical medication behavior analysis system based on an efficient negative sequence mining mode and a working method thereof. The clinical medication behavior analysis system comprises a data acquisition system and a behavior analysis system; the data acquisition system comprises a data acquisition module and a data transmission module; the data acquisition module acquires and stores clinical medication behavior data in real time; the data transmission module transmits the clinical medication behavior data to the behavior analysis system; the behavior analysis system comprises a data processing module, a data analysis module and a data management module; the data processing module performs data cleaning on the clinical medication behavior data and performs data classification; the data analysis module performs analysis and prediction; and the data management module stores and displays the analysis result and recommends the next medication. According to the invention, the eNSP-IT algorithm is applied to clinical medication behavior analysis, so that the negative sequence relationship among medicine can be found out more quickly, the next medication of a patient can be predicted better, and clinical decisions based on the change of a medicine scheme are supported.

Description

technical field [0001] The invention relates to a clinical medication behavior analysis system based on an efficient negative sequence mining mode and a working method thereof, belonging to the application technical field of the negative sequence mode. Background technique [0002] In recent years, with the rapid development of my country's economy, people have paid more and more attention to physical fitness, and medical care has also received more and more attention. With the continuous development of informatization, the medical information system has also made great progress in the process of transitioning from paper charts to electronic health records. At present, the medical information system has basically realized electronic, digital and medialization. This transformation It has led to the accumulation of a large amount of data in the clinical data warehouse, making the medical industry have a large amount of data storage. These medical and health data include clini...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H70/40
CPCG16H50/70G16H70/40G16H20/10G16H40/67
Inventor 董祥军高欣明
Owner QILU UNIV OF TECH
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