Journal article

Short-Term Forecasting of Emergency Inpatient Flow

Gad Abraham, Graham B Byrnes, Christopher A Bain

IEEE Transactions on Information Technology in Biomedicine | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2009

DOI: 10.1109/TITB.2009.2014565

Related Projects (1)

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PLATYPUS

This proposal builds on the applicants’ experience with existing large prospective studies and on studies of families of patients with bowel..

Grants

Awarded by Australian Research Council

Awarded by National Health and Medical Research Council (NHMRC)

Funding Acknowledgements

This work was supported by the Australian Research Council under Linkage Grant LP0349153. The work of G. B. Byrnes was supported by the National Health and Medical Research Council (NHMRC) Capacity Building under Grant 251533.

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Keywords

Forecasting
Emergency Service, Hospital
Technology
Mathematical & Computational Biology
Autoregressive Integrated Moving Average (arima)
Computer Science, Information Systems
Hospitals, Teaching
Bed Occupancy
Seasonal Arima (sarima)
Models, Statistical
Life Sciences & Biomedicine
Length of Stay
Humans
Personnel Staffing and Scheduling
Length-Of-Stay
Patient Flow
Computer Science
Medical Informatics
Time-Series Analysis
Health Care Management
Emergency Occupancy
Science & Technology
Patient Admission
Computer Science, Interdisciplinary Applications