Hand-foot-and-mouth disease prediction method using fine-grained data, electronic equipment, and medium

Abstract

The invention provides a hand-foot-and-mouth disease prediction method and device using fine-grained data, electronic equipment and a computer readable medium. The method comprises the steps of obtaining historical case data of the hand-foot-and-mouth disease; preprocessing the historical case data, and dividing the historical case data into time series data of two different time intervals; pre-aggregating the time series data of the two different time intervals according to time to obtain multivariate time series data, and converting the multivariate time series data into supervised data; training a hand-foot-and-mouth disease prediction model according to the supervised data; inputting the hand-foot-and-mouth disease case data collected in real time into the trained hand-foot-and-mouth disease prediction model to obtain the real-time predicted number of patients with the hand-foot-and-mouth disease. According to the scheme, the time series data of different granularity time intervalsof historical case data are obtained, the accuracy of predicting the number of patients with the hand-foot-and-mouth disease based on equal time granularity is improved according to the time series data with finer granularity, additional data assistance is not needed, and the prediction efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of public health forecasting, in particular to a hand, foot and mouth disease forecasting method and device using fine-grained data, an electronic device, and a computer-readable medium. Background technique [0002] With the acceleration of the process of global economic integration, the increase of economic and communication activities, the increasingly frequent flow of people provides a favorable environment for the spread and outbreak of diseases, and public health problems are becoming more and more serious. At the same time, social and natural environments are also changing, and the increase in environmental pollution, natural disasters and other incidents that affect public health also increases the possibility of outbreaks of public health emergencies. [0003] Hand, foot and mouth disease is one of the infectious diseases with the highest incidence rate, affecting public health security wo...

AI Technical Summary

Problems solved by technology

[0004]The traditional method is to predict the number of cases of HFMD in a certain time interval in the future, based on the observed number of cases at the same time interval , such as using the number of cases in the same period in the past years to predict the number of cases in the same period of this year, but the prediction of the traditional method is often unsatisfactory

Images