Early Warning of Infectious Diseases in Hospitals Based on Multi-Self-Regression Deep Neural Network.

ABSTRACT:

Objective

Infectious diseases usually spread rapidly. This study aims to develop a model that can provide fine-grained early warnings of infectious diseases using real hospital data combined with disease transmission characteristics, weather, and other multi-source data.

Methods

Based on daily data reported for infectious diseases collected from several large general hospitals in China between 2012 and 2020, seven common infectious diseases in medical institutions were screened and a multi self-regression deep (MSRD) neural network was constructed. Using a recurrent neural network as the basic structure, the model can effectively model the epidemiological trend of infectious diseases by considering the current influencing conditions while taking into account the historical d

SUBMITTER: Wang M 

PROVIDER: S-EPMC9410942 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature