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| Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis |
| Hye Jin Kam, Jin Ok Sung, Rae Woong Park |
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Healthc Inform Res. 2010;16(3):158-165. Published online September 30, 2010 DOI: https://doi.org/10.4258/hir.2010.16.3.158 |
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Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis Healthcare Informatics Research. 2010;16(3):158  Development Models to Prediction of Daily Patient Numbers for A Metropolitan Areas Hospitals in Portugal Using Time Series Analysis Annals of Epidemiology. 2013;23(9):593 144 Time Series Analysis and Forecasting Daily Emergency Department Visits Utilizing Facebook's Prophet Method Annals of Emergency Medicine. 2019;74(4):S57 Daily Patient Care Time Is the Best Predictor of Waiting Time Performance Academic Emergency Medicine. 2004;11(5):461-461 Forecasting daily time series using periodic unobserved components time series models Computational Statistics & Data Analysis. 2006;51(2):885-903 Total Daily Patient Care Time as a Measure of Emergency Department Overcrowding Academic Emergency Medicine. 2003;10(5):526-a-526 Prospective Confirmation That Total Daily Patient Care Time Can Measure Emergency Department Overcrowding Academic Emergency Medicine. 2003;10(5):526-b-527 Kolmogorov Complexity Analysis and Prediction Horizon of the Daily Erythemal Dose Time Series Atmosphere. 2022;13(5):746 Relationship between Total Daily Patient Care Time and Performance as a Measure of Emergency Department Efficiency Academic Emergency Medicine. 2003;10(5):527-527 A Novel Integration of Hodrick-Prescott Filter and Harmonic Analysis with Machine Learning Methods to Enhance Time Series Prediction Accuracy of Daily and Monthly Wind Speeds . 2021; |
