Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
about
Historical Data Analysis of Hospital Discharges Related to the Amerithrax Attack in FloridaRecommendations for modeling disaster responses in public health and medicine: a position paper of the society for medical decision making.Time series analysis of influenza incidence in Chinese provinces from 2004 to 2011Time-series model to predict impact of H1N1 influenza on a children's hospital.2009 influenza pandemic impact on sick leave use in the Veterans Health Administration: framework for a health care provider-based national syndromic surveillance system.The impact of SARS on hospital performanceForecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical DataImpact of weather factors on hand, foot and mouth disease, and its role in short-term incidence trend forecast in Huainan City, Anhui Province.Data-driven outbreak forecasting with a simple nonlinear growth model.Hospice utilization during the SARS outbreak in Taiwan.Time series modelling to forecast prehospital EMS demand for diabetic emergencies.Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model.Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models.Forecast model analysis for the morbidity of tuberculosis in Xinjiang, ChinaForecast analysis of any opportunistic infection among HIV positive individuals on antiretroviral therapy in Uganda.Estimating the waiting time of multi-priority emergency patients with downstream blocking.Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model.Time-series analysis on human brucellosis during 2004-2013 in Shandong Province, China.A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level.Time series model to predict burden of viral respiratory illness on a pediatric intensive care unit.Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs.Disease management with ARIMA model in time series.Generating temporal model using climate variables for the prediction of dengue cases in Subang Jaya, Malaysia.
P2860
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P2860
Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
description
2005 nî lūn-bûn
@nan
2005 թուականին հրատարակուած գիտական յօդուած
@hyw
2005 թվականին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Using autoregressive integrate ...... tertiary hospital in Singapore
@ast
Using autoregressive integrate ...... tertiary hospital in Singapore
@en
Using autoregressive integrate ...... tertiary hospital in Singapore
@nl
type
label
Using autoregressive integrate ...... tertiary hospital in Singapore
@ast
Using autoregressive integrate ...... tertiary hospital in Singapore
@en
Using autoregressive integrate ...... tertiary hospital in Singapore
@nl
prefLabel
Using autoregressive integrate ...... tertiary hospital in Singapore
@ast
Using autoregressive integrate ...... tertiary hospital in Singapore
@en
Using autoregressive integrate ...... tertiary hospital in Singapore
@nl
P2093
P2860
P3181
P356
P1476
Using autoregressive integrate ...... tertiary hospital in Singapore
@en
P2093
Arul Earnest
Leo Yee Sin
P2860
P2888
P3181
P356
10.1186/1472-6963-5-36
P407
P50
P577
2005-05-11T00:00:00Z
P5875
P6179
1005558233