Forecasting patient arrivals at emergency department using calendar and meteorological information
Author:
Funder
anhui province health soft science research project
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-03085-9.pdf
Reference26 articles.
1. Sinha A, Rathi M (2021) COVID-19 prediction using AI analytics for South Korea. Appl Intell. https://doi.org/10.1007/s10489-021-02352-z
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3. Xu M, Wong TC, Chin KS (2013) Modeling daily patient arrivals at Emergency Department and quantifying the relative importance of contributing variables using artificial neural network. Decis Support Syst 54(3):1488–1498. https://doi.org/10.1016/j.dss.2012.12.019
4. Afilal M, Yalaoui F, Dugardin F, Amodeo L, Laplanche D, Blua P (2016) Forecasting the emergency department patients flow. J Med Syst 40(7):175. https://doi.org/10.1007/s10916-016-0527-0
5. Jilani T, Housley G, Figueredo G, Tang P-S, Hatton J, Shaw D (2019) Short and Long term predictions of Hospital emergency department attendances. Int J Med Inform 129:167–174. https://doi.org/10.1016/j.ijmedinf.2019.05.011
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