Key Experimental Factors of Machine Learning-Based Identification of Surgery Cancellations

Table 2

Predictors considered in this study.

Category	Number of predictors	Predictor(s)
Patients’ information	3	Age, sex and AT
Admission information	1	NDA
Workup information	2	WHSB and ST
Surgery schedule information	5	OR, surgeon, NSOD, ONS, and WSHSB
Administrative issues	3	WSDLH, WMSD, and WC

AT: anesthesia type. NDA: number of days admitted. NSOD: number of surgeries in the OR on the day. ONS: order number of surgery. OR: operating room. ST: surgery type. WC: whether surgery is cancelled. WHSB: whether there has been a surgery before. WMSD: whether it is the main surgery day. WSDLH: whether the surgery day is a legal holiday. WSHSB: whether the surgeon has surgery before. Predictor(s): predictors mentioned above were preliminarily identified through expert interviews.