A systematic review of prediction methods for emergency management
With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …
of catastrophes have posed devastating threats to human life and social stability worldwide …
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 …
[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 …
[HTML][HTML] Artificial intelligence in acute care: A systematic review, conceptual synthesis, and research agenda
Artificial intelligence (AI) is emerging as a promising healthcare technology. Especially in
critical, data-driven, and complex environments such as acute care, the use of AI can …
critical, data-driven, and complex environments such as acute care, the use of AI can …
Predicting hospital emergency department visits accurately: A systematic review
E Silva, MF Pereira, JT Vieira… - … Journal of Health …, 2023 - Wiley Online Library
Objectives The emergency department (ED) is a very important healthcare entrance point,
known for its challenging organisation and management due to demand unpredictability. An …
known for its challenging organisation and management due to demand unpredictability. An …
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 …
A systematic review of the modelling of patient arrivals in emergency departments
S Jiang, Q Liu, B Ding - Quantitative Imaging in Medicine and …, 2022 - pmc.ncbi.nlm.nih.gov
Background Accident and Emergency Department (AED) is the frontline of providing
emergency care in a hospital and research focusing on improving decision-makings and …
emergency care in a hospital and research focusing on improving decision-makings and …
[HTML][HTML] The influences of the COVID-19 pandemic on medical service behaviors
WH Chang - Taiwanese Journal of Obstetrics and Gynecology, 2020 - Elsevier
The outbreak of the novel coronavirus (COVID-19) has greatly impacted medical services
worldwide. In addition to changing the processes used by hospital medical services, it has …
worldwide. In addition to changing the processes used by hospital medical services, it has …
Neural architectures for gender detection and speaker identification
In this paper, we investigate two neural architecture for gender detection and speaker
identification tasks by utilizing Mel-frequency cepstral coefficients (MFCC) features which do …
identification tasks by utilizing Mel-frequency cepstral coefficients (MFCC) features which do …