2022
DOI: 10.1155/2022/8990907
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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 de… Show more

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Cited by 3 publications
(2 citation statements)
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“…Through the infectious disease monitoring and decision support system, doctors can receive assistance in determining whether a case is infectious, facilitating rapid diagnosis reporting. For hospital management departments, the system's increased reporting capabilities are complemented by a trend prediction model based on our previous research 4 , which enables early warning of outbreaks, thereby enhancing epidemic response capabilities and timeliness.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Through the infectious disease monitoring and decision support system, doctors can receive assistance in determining whether a case is infectious, facilitating rapid diagnosis reporting. For hospital management departments, the system's increased reporting capabilities are complemented by a trend prediction model based on our previous research 4 , which enables early warning of outbreaks, thereby enhancing epidemic response capabilities and timeliness.…”
Section: Resultsmentioning
confidence: 99%
“…As the first line of defense in the diagnosis and treatment of infectious diseases, hospitals' real-time monitoring and early warning capabilities for infectious diseases have a major impact on the success and efficiency of the entire infectious disease prevention and control work. Early infectious disease warning and reminders can affect the treatment effect and prevention and control of infectious diseases considerably 3 , 4 . Studies 5 , 6 have mainly relied on laboratory test results for monitoring and early warning.…”
Section: Introductionmentioning
confidence: 99%