Time series modelling and forecasting of emergency department overcrowding
Efficient management of patient flow (demand) in emergency departments (EDs) has
become an urgent issue for many hospital administrations. Today, more and more attention …
become an urgent issue for many hospital administrations. Today, more and more attention …
Improved principal component analysis for anomaly detection: Application to an emergency department
Monitoring of production systems, such as those in hospitals, is primordial for ensuring the
best management and maintenance desired product quality. Detection of emergent …
best management and maintenance desired product quality. Detection of emergent …
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems
Monitoring complex production systems is primordial to ensure management, reliability and
safety as well as maintaining the desired product quality. Early detection of emergent …
safety as well as maintaining the desired product quality. Early detection of emergent …
A simulation-based decision support system to prevent and predict strain situations in emergency department systems
F Kadri, S Chaabane, C Tahon - Simulation modelling practice and theory, 2014 - Elsevier
The management of patient flow, especially the flow resulting from health crises in
emergency departments (ED), is one of the most important problems managed by ED …
emergency departments (ED), is one of the most important problems managed by ED …
Early detection of peak demand days of chronic respiratory diseases emergency department visits using artificial neural networks
Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease
(COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding …
(COPD), affect the lives of people by limiting their activities in various aspects. Overcrowding …
A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care
E Marcon, S Chaabane, Y Sallez, T Bonte… - … Modelling Practice and …, 2017 - Elsevier
Abstract Home Health Care (HHC) services are growing worldwide. HHC providers that
employ their caregivers have to manage operational decisions such as assigning patients to …
employ their caregivers have to manage operational decisions such as assigning patients to …
[HTML][HTML] Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods
Forecasting the different types of emergency department (ED) demands (patient flows) in
hospital systems much aids ED managers in looking into various options to appropriately …
hospital systems much aids ED managers in looking into various options to appropriately …
Predicting hospital length of stay using regression models: Application to emergency department
Increasing healthcare costs motivate the search for ways to increase care efficiency. In this
paper, we present a novel methodological framework based on predictive data mining …
paper, we present a novel methodological framework based on predictive data mining …
An LSTM-based deep learning approach with application to predicting hospital emergency department admissions
F Kadri, M Baraoui, I Nouaouri - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Since the need for medical cares has significantly increased all over the last years, the
efficient management of patient flow becomes a core element for hospitals and particularly …
efficient management of patient flow becomes a core element for hospitals and particularly …
Caregivers routing problem in home health care: literature review
E Marcon, S Chaabane, Y Sallez, T Bonte - Service Orientation in Holonic …, 2017 - Springer
Abstract In France, Hospital-at-Home Services (HHS) providers that employ their caregivers
have to define the assignment of patients to caregivers and the planning of the caregivers' …
have to define the assignment of patients to caregivers and the planning of the caregivers' …