An empirical investigation of forecasting methods for ambulance calls - a case study-Reference-Cited by-同舟云学术

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An empirical investigation of forecasting methods for ambulance calls - a case study

Published:2020-06-25 Issue:4 Volume:10 Page:268-285
ISSN:2047-6965
Container-title:Health Systems
language:en
Short-container-title:Health Systems

Author:

Al-Azzani Mohamed A K¹,Davari Soheil²,England Tracey Jane³

Affiliation:

1. Department of Economics and Finance, Durham University Business School, Durham, UK

2. Hertfordshire Business School, University of Hertfordshire, Hatfield, UK

3. School of Mathematics, Cardiff University, Aneurin Bevan University Health Board, Newport, UK

Publisher

Informa UK Limited

Subject

Health Informatics,Health Policy

Link

https://www.tandfonline.com/doi/pdf/10.1080/20476965.2020.1783190

Reference39 articles.

1. Software defect prediction using cost-sensitive neural network

2. Forecasting exchange rates: An optimal approach

3. Extracting qualitative dynamics from experimental data

4. The application of forecasting techniques to modeling emergency medical system calls in Calgary, Alberta

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