Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Operations research in healthcare: a survey
A Rais, A Viana - International transactions in operational …, 2011 - Wiley Online Library
Optimisation problems in Healthcare have received considerable attention for more than
three decades. More recently, however, with decreasing birth rates in nearly all of the …
three decades. More recently, however, with decreasing birth rates in nearly all of the …
[HTML][HTML] Artificial intelligence and the implementation challenge
Background Applications of artificial intelligence (AI) in health care have garnered much
attention in recent years, but the implementation issues posed by AI have not been …
attention in recent years, but the implementation issues posed by AI have not been …
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 …
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 …
Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
A well-performed demand forecasting can provide outpatient department (OPD) managers
with essential information for staff scheduling and rostering, considering the non-reservation …
with essential information for staff scheduling and rostering, considering the non-reservation …
Artificial intelligence in emergency medicine: a scoping review
Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
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 …
Real-time prediction of inpatient length of stay for discharge prioritization
S Barnes, E Hamrock, M Toerper… - Journal of the …, 2016 - academic.oup.com
Objective Hospitals are challenged to provide timely patient care while maintaining high
resource utilization. This has prompted hospital initiatives to increase patient flow and …
resource utilization. This has prompted hospital initiatives to increase patient flow and …
Predicting emergency department admissions
Objective To develop and validate models to predict emergency department (ED)
presentations and hospital admissions for time and day of the year. Methods Initial model …
presentations and hospital admissions for time and day of the year. Methods Initial model …