[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Artificial intelligence and machine learning in emergency medicine
KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
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 …
What is the best RNN-cell structure to forecast each time series behavior?
It is unquestionable that time series forecasting is of paramount importance in many fields.
The most used machine learning models to address time series forecasting tasks are …
The most used machine learning models to address time series forecasting tasks are …
[HTML][HTML] Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana
C Twumasi, J Twumasi - International Journal of Forecasting, 2022 - Elsevier
The major challenge in managing blood products lies in the uncertainty of blood demand
and supply, with a trade-off between shortage and wastage, especially in most developing …
and supply, with a trade-off between shortage and wastage, especially in most developing …
Forecasting and explaining emergency department visits in a public hospital
S Petsis, A Karamanou, E Kalampokis… - Journal of Intelligent …, 2022 - Springer
Abstract Emergency Departments (EDs) are the most overcrowded places in public
hospitals. Machine learning can support decisions on effective ED resource management by …
hospitals. Machine learning can support decisions on effective ED resource management by …
[HTML][HTML] The aspects of running artificial intelligence in emergency care; a scoping review
MM Hosseini, STM Hosseini, K Qayumi… - Archives of academic …, 2023 - ncbi.nlm.nih.gov
Methods: A comprehensive literature collection was compiled through electronic
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …
Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method
Y Huang, C Xu, M Ji, W Xiang, D He - BMC Medical Informatics and …, 2020 - Springer
Background Accurate forecasting of medical service demand is beneficial for the reasonable
healthcare resource planning and allocation. The daily outpatient volume is characterized …
healthcare resource planning and allocation. The daily outpatient volume is characterized …
Predicting hospital emergency department visits with deep learning approaches
Overcrowding in emergency department (ED) causes lengthy waiting times, reduces
adequate emergency care and increases rate of mortality. Accurate prediction of daily ED …
adequate emergency care and increases rate of mortality. Accurate prediction of daily ED …
Forecasting patient arrivals at emergency department using calendar and meteorological information
Y Zhang, J Zhang, M Tao, J Shu, D Zhu - Applied Intelligence, 2022 - Springer
Overcrowding in emergency departments (EDs) is a serious problem in many countries.
Accurate ED patient arrival forecasts can serve as a management baseline to better allocate …
Accurate ED patient arrival forecasts can serve as a management baseline to better allocate …