Time series modelling to forecast prehospital EMS demand for diabetic emergencies
Abstract Background Acute diabetic emergencies are often managed by prehospital Emergency Medical Services (EMS). The projected growth in prevalence of diabetes is likely to result in rising demand for prehospital EMS that are already under pressure. The aims of this study were to model the temporal...
Saved in:
Main Authors: | Melanie Villani (Author), Arul Earnest (Author), Natalie Nanayakkara (Author), Karen Smith (Author), Barbora de Courten (Author), Sophia Zoungas (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2017-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Open-source software for demand forecasting of clinical laboratory test volumes using time-series analysis
by: Emad A Mohammed, et al.
Published: (2017) -
The 8th International Conference on Time Series and Forecasting
Published: (2022) -
Chapter Short-term forecasts on time series for tourism in Lombardy
by: Diceglie, Elena
Published: (2023) -
Chapter Short-term forecasts on time series for tourism in Lombardy
by: Diceglie, Elena
Published: (2023) -
Forecasting incidence of dengue in Rajasthan, using time series analyses
by: Sunil Bhatnagar, et al.
Published: (2012)