Biomaterial Database

Using Long Short-Term Memory (LSTM) Neural Networks to Predict Emergency Department Wait Time. 2020

Nok Cheng, and Alex Kuo

School of Health Information Science, University of Victoria, Canada.

Emergency Department (ED) overcrowding is a major global healthcare issue. Many research studies have been conducted to predict ED wait time using various machine learning prediction models to enhance patient experience and improve care efficiency and resource allocation. In this paper, we used Long Short-Term Memory (LSTM) recurrent neural networks to build a model to predict ED wait time in the next 2 hours using a randomly generated patient timestamp dataset of a typical patient hospital journey. Compared with Linear Regression model, the average mean absolute error for the LSTM model is decreased by 9.7% (3 minutes) (p < 0.01). The LSTM model statistically outperforms the LR model, however, both models could be practically useful in ED wait time prediction.

UI	MeSH Term	Description	Entries
D008570	Memory, Short-Term	Remembrance of information for a few seconds to hours.	Immediate Recall,Memory, Immediate,Working Memory,Memory, Shortterm,Immediate Memories,Immediate Memory,Immediate Recalls,Memories, Immediate,Memories, Short-Term,Memories, Shortterm,Memory, Short Term,Recall, Immediate,Recalls, Immediate,Short-Term Memories,Short-Term Memory,Shortterm Memories,Shortterm Memory,Working Memories
D004636	Emergency Service, Hospital	Hospital department responsible for the administration and provision of immediate medical or surgical care to the emergency patient.	Emergency Outpatient Unit,Emergency Services Utilization,Hospital Emergency Room,Hospital Emergency Service,Hospital Emergency Services Utilization,Accident and Emergency Department,Emergency Departments,Emergency Hospital Service,Emergency Room,Emergency Units,Emergency Ward,Hospital Service Emergency,Service, Hospital Emergency,Department, Emergency,Departments, Emergency,Emergencies, Hospital Service,Emergency Department,Emergency Hospital Services,Emergency Outpatient Units,Emergency Room, Hospital,Emergency Rooms,Emergency Rooms, Hospital,Emergency Services, Hospital,Emergency Unit,Emergency Wards,Emergency, Hospital Service,Hospital Emergency Rooms,Hospital Emergency Services,Hospital Service Emergencies,Hospital Service, Emergency,Hospital Services, Emergency,Outpatient Unit, Emergency,Outpatient Units, Emergency,Room, Emergency,Room, Hospital Emergency,Rooms, Emergency,Rooms, Hospital Emergency,Service Emergencies, Hospital,Service Emergency, Hospital,Service, Emergency Hospital,Services Utilization, Emergency,Services Utilizations, Emergency,Services, Emergency Hospital,Services, Hospital Emergency,Unit, Emergency,Unit, Emergency Outpatient,Units, Emergency,Units, Emergency Outpatient,Utilization, Emergency Services,Ward, Emergency,Wards, Emergency
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000069550	Machine Learning	A type of ARTIFICIAL INTELLIGENCE that enable COMPUTERS to independently initiate and execute LEARNING when exposed to new data.	Transfer Learning,Learning, Machine,Learning, Transfer
D014850	Waiting Lists	Prospective patient listings for appointments or treatments.	List, Waiting,Lists, Waiting,Waiting List
D016571	Neural Networks, Computer	A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.	Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron