Target data determination method and device, electronic equipment and storage medium

A technology of target data and determination method, applied in the direction of patient-specific data, drugs or prescriptions, drug reference, etc., can solve problems such as low prescribing efficiency, and achieve the effect of improving reliability

Pending Publication Date: 2022-01-28
北方健康医疗大数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technical solution described in this patented technology allows patients' health records (such as their symptoms) from multiple sources are analyzed together to identify potential issues that may affect them during therapy. This helps prevent future treatments more effectively and improves patient outcomes through better understanding of how well they have been doing medicine over time.

Problems solved by technology

The technical problem addressed by this patented technology relates to improving the accuracy and consistency of identifying different types of medications used during treatment (such as drugs) on patients' healthy individuals. This can help improve patient outcomes while reducing costs associated with unnecessary treatments that may be harmful if they are given too much.

Method used

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  • Target data determination method and device, electronic equipment and storage medium
  • Target data determination method and device, electronic equipment and storage medium
  • Target data determination method and device, electronic equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 2

[0061] figure 2 It is a flow chart of a method for determining target data provided by Embodiment 2 of the present invention. On the basis of the foregoing embodiments, S130 and S140 are further refined. For its specific implementation, refer to the technical solution of this embodiment. Wherein, technical terms that are the same as or corresponding to those in the foregoing embodiments will not be repeated here.

[0062] Such as figure 2 As shown, the method specifically includes the following steps:

[0063] S210. For each disease information, acquire multiple sets of data to be processed of the current disease information relative to each preset platform.

[0064] S220. By associating the medication information in each group of data to be processed, at least one piece of medication-related data corresponding to each group of data to be processed is obtained, and according to the at least one piece of medication-related data, determine the relationship with each group of d

Embodiment 3

[0096] As an optional embodiment of the above embodiment, image 3 It is a schematic flowchart of a method for determining target data provided in Embodiment 3 of the present invention. For details, refer to the following specific content.

[0097] Exemplary, such as image 3As shown, according to the specified disease information, the corresponding data sets to be processed are obtained in each preset platform, that is, each preset platform corresponds to a set of data sets to be processed, and then the Apriori algorithm can be used to correlate each set of data to be processed Rule mining, set minimum support and minimum confidence thresholds based on experience, and output drug-related data sets that meet the conditions. Each set of data sets to be processed corresponds to a drug-related data set, and the drug-related data set contains drug-related data and confidence If the output medication-related data is not ideal, for example, the number of medication-related data is les

Embodiment 4

[0108] Figure 4 It is a structural block diagram of an apparatus for determining target data provided in Embodiment 4 of the present invention. The device includes: a data to be processed acquisition module 410 , a medication evidence information determination module 420 , a target medication evidence information determination module 430 to be processed, and a target medication evidence information determination module 440 .

[0109] Wherein, the data to be processed acquisition module 410 is used for obtaining multiple groups of data to be processed of the current disease information relative to each preset platform for each disease information; wherein, each group of data to be processed includes a plurality of data to be processed, and each group The data to be processed corresponds to the corresponding preset platform, and each data to be processed includes medication information corresponding to the current disease information; the medication evidence information determinat

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PUM

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Abstract

The embodiment of the invention discloses a target data determination method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring multiple groups of to-be-processed data of current disease information relative to each preset platform; performing association processing on the medication information in each group of to-be-processed data, and determining medication evidence information corresponding to each group of to-be-processed data; and processing the medication evidence information corresponding to each group of to-be-processed data to obtain target to-be-processed medication evidence information corresponding to each group of medication evidence information. By analyzing and processing each target to-be-processed drug use associated data in the target to-be-processed drug use evidence information, the target drug use evidence information corresponding to the current disease information and the confidence coefficient corresponding to each target drug use associated data in the target drug use evidence information are determined, so that the problem that a prescription is made by looking up historical prescription data and low extraction efficiency is caused in the prior art is solved, and the effect of comprehensively considering the medication associated information of the preset platforms with different data sizes for the disease information is achieved.

Description

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Claims

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Application Information

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Owner 北方健康医疗大数据科技有限公司
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