Measures of crowding in the emergency department: a systematic review
U Hwang, ML McCarthy, D Aronsky… - Academic …, 2011 - Wiley Online Library
ACADEMIC EMERGENCY MEDICINE 2011; 18: 527–538© 2011 by the Society for
Academic Emergency Medicine Abstract Objectives: Despite consensus regarding the …
Academic Emergency Medicine Abstract Objectives: Despite consensus regarding the …
An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments
Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses
and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of …
and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of …
Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study
The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …
Predicting air quality with deep learning LSTM: Towards comprehensive models
R Navares, JL Aznarte - Ecological Informatics, 2020 - Elsevier
In this paper we approach the problem of predicting air quality in the region of Madrid using
long short term memory recurrent artificial neural networks. Air quality, in this study, is …
long short term memory recurrent artificial neural networks. Air quality, in this study, is …
[HTML][HTML] COVID-19: Short-term forecast of ICU beds in times of crisis
M Goic, MS Bozanic-Leal, M Badal, LJ Basso - Plos one, 2021 - journals.plos.org
By early May 2020, the number of new COVID-19 infections started to increase rapidly in
Chile, threatening the ability of health services to accommodate all incoming cases …
Chile, threatening the ability of health services to accommodate all incoming cases …
[HTML][HTML] Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models
L Luo, L Luo, X Zhang, X He - BMC health services research, 2017 - Springer
Background Accurate forecasting of hospital outpatient visits is beneficial for the reasonable
planning and allocation of healthcare resource to meet the medical demands. In terms of the …
planning and allocation of healthcare resource to meet the medical demands. In terms of the …
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach
D Borges, MCV Nascimento - Applied Soft Computing, 2022 - Elsevier
Recent literature has revealed a growing interest in methods for anticipating the demand for
medical items and personnel at hospital, especially during turbulent scenarios such as the …
medical items and personnel at hospital, especially during turbulent scenarios such as the …
Forecasting daily emergency department visits using calendar variables and ambient temperature readings
I Marcilio, S Hajat, N Gouveia - Academic emergency medicine, 2013 - Wiley Online Library
Objectives This study aimed to develop different models to forecast the daily number of
patients seeking emergency department (ED) care in a general hospital according to …
patients seeking emergency department (ED) care in a general hospital according to …
Predicting emergency department inpatient admissions to improve same‐day patient flow
JS Peck, JC Benneyan, DJ Nightingale… - Academic Emergency …, 2012 - Wiley Online Library
ACADEMIC EMERGENCY MEDICINE 2012; 19: 1045–1054© 2012 by the Society for
Academic Emergency Medicine Abstract Objectives: The objectives were to evaluate three …
Academic Emergency Medicine Abstract Objectives: The objectives were to evaluate three …
Evaluation of data preprocessing and feature selection process for prediction of hourly PM10 concentration using long short-term memory models
Studies have confirmed that PM 10, defined as respirable particles with diameters of 10 μm
and smaller, has adverse effects on human health and the environment. Various estimation …
and smaller, has adverse effects on human health and the environment. Various estimation …