Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department

Table 2

Descriptive statistical results of numeric variables.

Attribute	Type	Details	Min	Max	Mean	SD
Age	Input	The age of the patient	1	93	32.9	19.2
Nurses	Input	The number of nurses on duty upon patients’ arrival	4	10	7.3	1.5
Crowding	Input	Number of patients in the ER at the same hour	1	33	10.1	5.9
LOS	Output	(T arrive-T departure) in minutes	8	294	68.1	49.6