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Title:
METHOD AND APPARATUS FOR GENERATING PREDICTION MODEL, AND COMPUTER READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/010710
Kind Code:
A1
Abstract:
Disclosed in the present application is a method for generating a prediction model, the method comprising: determining a target region and a target time unit to be detected and a preset period; acquiring influenza-like case percentage data sequences of a plurality of consecutive time units before the target time unit in the target area; on the basis of the preset period and a preset step number k, lagging the influenza-like case percentage data sequences by 0 to k steps before and after the preset period to acquire a 2k+1 data sequence; calculating the autocorrelation coefficient of the 2k+1 data sequence and the influenza-like case percentage data sequences and, on the basis of a first data sequence having an autocorrelation coefficient higher than a preset threshold, determining a prediction period; calculating model parameters and, on the basis of the model parameters and the prediction period, establishing an autoregressive integrated moving average model as a prediction model. Also provided in the present application are an apparatus for generating a prediction model and a computer readable storage medium. The present application improves the prediction precision of the autoregressive integrated moving average model.

Inventors:
LI XIAN (CN)
XU LIANG (CN)
RUAN XIAOWEN (CN)
XIAO JING (CN)
Application Number:
PCT/CN2018/107488
Publication Date:
January 16, 2020
Filing Date:
September 26, 2018
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F19/00
Foreign References:
CN107633254A2018-01-26
CN107145714A2017-09-08
CN108268967A2018-07-10
Attorney, Agent or Firm:
SHENZHEN WORLD INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP ) (CN)
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