Data processing method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the technical field of data processing, and discloses a data processing method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring a historical record, extracting a plurality of historical case data from the historical record, and processing the plurality of historical case data to obtain a baseline value set;receiving current data corresponding to the current epidemic situation, and determining a current curve based on the current data; and updating a preset grading model based on the baseline value setto obtain a data grading model, and inputting the current curve into the data grading model to obtain grade data of the current epidemic situation. The embodiment of the invention has the advantage ofhigh user experience, and can be applied to a smart medical scene to promote the further development of smart cities.

Description

technical field [0001] The present application relates to the field of electronic technology, in particular to a data processing method, device, electronic equipment and readable storage medium. Background technique [0002] Influenza is an acute viral infectious disease transmitted through the respiratory tract, which can spread widely and the population is generally susceptible. Worldwide, influenza causes approximately 3 to 5 million severe cases and approximately 290,000 to 650,000 respiratory-related deaths each year. During the influenza epidemic, a large number of employees may not be able to go to work, the productivity will drop, and a large amount of direct or indirect medical expenses will be generated, which will greatly increase the social and economic burden. [0003] At present, the grading method of influenza intensity mainly depends on the judgment of relevant personnel on the current influenza epidemic situation to determine the intensity level of the curr...

AI Technical Summary

Problems solved by technology

During the influenza epidemic, a large number of employees may not be able to go to work, the productivity will drop, and a large amount of direct or indirect medical expenses will be generated, which will greatly increase the social and economic burden

[0003] At present, the grading method of influenza intensity mainly depends on the judgment of relevant personnel on the current influenza epidemic situation to determine the intensity level of the current influenza epidemic. The entire grading process mainly relies on the experience of relevant personnel to judge, which is highly subjective and the accuracy rate is not high. , poor user experience

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