Forecasting infectious and parasitic disease emergency department attendances using high-dimensional time series data-Reference-Cited by-同舟云学术

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Forecasting infectious and parasitic disease emergency department attendances using high-dimensional time series data

Published:2024-06-25 Issue: Volume:2 Page:603-610
ISSN:
Container-title:2024 IEEE Conference on Artificial Intelligence (CAI)
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Author:

Guo Peihong¹,Tewari Pranav¹,Wen Choo Esther Li¹,Tan Kelvin Bryan²,Abisheganaden John³,Dickens Borame⁴

Affiliation:

1. Nanyang Technological University,Lee Kong Chian School of Medicine,Singapore

2. Ministry of Health,Policy Research and Evaluation Division,Singapore

3. Tan Tock Seng Hospital,Department of Respiratory and Critical Care Medicine,Singapore

4. National University of Singapore,Saw Swee Hock School of Public Health,Singapore

Funder

School of Medicine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605341.pdf?arnumber=10605341

Reference35 articles.

1. Hospital admissions due to infectious and parasitic diseases in England and Wales between 1999 and 2019: an ecological study

2. The economic burden of malaria on households and the health system in a high transmission district of Mozambique

3. Emerging and Re-emerging Vector-Borne Infectious Diseases and the Challenges for Control: A Review

4. Emergency Department Crowding: The Canary in the Health Care System;Kelen;Catalyst non-issue content,2021

5. Factors associated with inappropriate attendances at the emergency department of a tertiary hospital in Singapore

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