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pro vyhledávání: '"Case prediction"'
COVID-19 forecasting models have been used to inform decision making around resource allocation and intervention decisions e.g., hospital beds or stay-at-home orders. State of the art deep learning models often use multimodal data such as mobility or
Externí odkaz:
http://arxiv.org/abs/2405.09483
Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present a systematic analysis across mobility datasets and prediction lookahe
Externí odkaz:
http://arxiv.org/abs/2407.10304
The COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent research groups, is used by the Centers for Disease Control and Prevention (CDC) for their official COVID-19 communications. As such, the Forecast Hub is a critica
Externí odkaz:
http://arxiv.org/abs/2405.14891
Akademický článek
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Publikováno v:
Journal of Medical Internet Research, Vol 26, p e63476 (2024)
BackgroundThe number of confirmed COVID-19 cases is a crucial indicator of policies and lifestyles. Previous studies have attempted to forecast cases using machine learning techniques that use a previous number of case counts and search engine querie
Externí odkaz:
https://doaj.org/article/a87edb279bde49c6a80f07e7b18f6865
Publikováno v:
Global Epidemiology, Vol 8, Iss , Pp 100168- (2024)
Background: Research comparing artificial intelligence and machine learning (AI/ML) methods with classical statistical methods applied to large population health databases is limited. Objectives: This retrospective cohort study aimed to compare the p
Externí odkaz:
https://doaj.org/article/90cd181a34b448cf91b0d9d86b49ac8e
Autor:
Ahn SH; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea., Yim K; Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Won HS; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea., Kim KM; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea.; Department of Data Science, The Catholic University of Korea, Bucheon-Si, Republic of Korea., Jeong DH; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea.; Department of Healthcare and Aritifical Intelligence, The Catholic University of Korea, Bucheon-Si, Republic of Korea.
Publikováno v:
Journal of medical Internet research [J Med Internet Res] 2024 Dec 16; Vol. 26, pp. e63476. Date of Electronic Publication: 2024 Dec 16.
In light of the outbreak of COVID-19, analyzing and measuring human mobility has become increasingly important. A wide range of studies have explored spatiotemporal trends over time, examined associations with other variables, evaluated non-pharmacol
Externí odkaz:
http://arxiv.org/abs/2210.03901
Autor:
De Nayer, G., Breuer, M.
Publikováno v:
In Journal of Wind Engineering & Industrial Aerodynamics December 2023 243
Akademický článek
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