Big Data-Enabled Analysis of Factors Affecting Patient Waiting Time in the Nephrology Department of a Large Tertiary Hospital

Table 1

Variable assignment table.

Categories	Variables	Assignment
Descriptive statistics	Age	1 = juvenile (0–17 years old), 2 = youth (18–40 years old), 3 = middle age (41–65 years old), 4 = old age (over 66 years old)
	Gender	1 = male, 2 = female
Time information	Week of issuing the admission card (WIAC)	1 = Monday, 2 = Tuesday, 3 = Wednesday, 4 = Thursday, 5 = Friday, 6 = Saturday, 7 = Sunday
	Applied period for admission (APA)	1 = morning (00 : 00–11 : 59), 2 = afternoon (12 : 00–23 : 59)
	Registration interval (RI)	Continuous variable
Disease information	Type of disease (TD)	1 = renal biopsy, 2 = peritoneal dialysis, 3 = vascular access, 4 = after renal transplant, 5 = other
	Number of disease diagnosis (NDD)	1 = 1 diagnosis, 2 = 2 diagnoses,; 3 = 3 diagnoses, 4 = ≥4 diagnoses