Dynamic epidemic prevention knowledge pushing method and system

Abstract

The invention relates to a dynamic epidemic prevention knowledge pushing method and a system. The method comprises the steps of extracting feature information of each user in a target crowd from self-examination report data; obtaining the latest edition of epidemic prevention guide and the previous edition of epidemic prevention guide, screening out updated epidemic prevention knowledge points andepidemic prevention knowledge points which are not pushed to the target crowd, and taking the screened epidemic prevention knowledge points as knowledge points to be pushed; adjusting the format of the feature information contained in the self-examination report data to be consistent with the format of the knowledge point to be pushed, and generating an adjusted feature information set; and constructing and training a push model based on the self-examination report data and the knowledge points to be pushed, inputting the adjusted feature information set into the trained push model, and outputting and pushing the epidemic prevention knowledge point with the maximum intervention effect on the feature information set to a preset user side. According to the invention, the change of the self-inspection report data can be monitored in real time, and the proper epidemic prevention knowledge points are automatically matched according to the real-time self-inspection report data and pushed tothe target user group.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method and system for pushing dynamic epidemic prevention knowledge. Background technique [0002] To establish a push system for patient education, it is generally necessary to collect a large number of samples for learning, and to verify a push system, it is necessary to do prospective follow-up for verification. Collecting samples and conducting follow-up visits will cost a lot of time and money, and will cost a lot of money. Time and money are spent on collecting samples and conducting follow-up visits, just for patient education push, which obviously has no market value; [0003] During special periods (such as during the epidemic), government departments, neighborhood committees and other institutions may require residents to conduct self-examination and report daily, and update daily health information on the mobile terminal by themselves. This information has the characteristics...

AI Technical Summary

Problems solved by technology

[0004] However, the problem with the existing push system for patient education is that it lacks the means to reasonably apply the self-examination and reporting data in a special period, so it takes a lot of time and money to collect data and conduct follow-up visits; in addition, the existing patient education system also has Lacking a comprehensive dynamic update mechanism, it cannot be applied to scenarios where the data reported by the population during the epidemic prevention period and the epidemic prevention knowledge points in the epidemic prevention guide dynamically change. target user group

For example, during the epidemic prevention period, the epidemic prevention knowledge points and the health data of the population are "dynamic", and the version of the epidemic prevention guideline is updated rapidly, and a certain version of the epidemic prevention knowledge pushed may be changed, updated or canceled by future versions

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