Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks

Table 1

Input and output variables of the surgery duration prediction system.

Variables	Name	Description
Input	1. Gender	(1) Male
		(2) Female
	2. BMI	Body mass index
	3. SBP	Systolic blood pressure
	4. DBP	Diastolic blood pressure
	5. PR	Pulse rate
	6. RR	Respiration rate
	7. Temperature	Body temperature
	8. Heart function classification	(1) I level
		(2) II level
		(3) III level
	9. RBC	Red blood cell
	10. HB	Hemoglobin
	11. HCT	Hematocrit
	12. PLT	Platelet
	13. K	Potassium
	14. NA	Sodium
	15. CL	Chlorine
	16. APTT	Activated partial thromboplastic time
	17. PT	Prothrombin time
	18. TT	Thrombin time
	19. American society of anesthesiologists (ASA) classification	(1) I level
		(2) II level
		(3) III level
	20. Anesthesia type	(1) Local anesthesia
		(2) General anesthesia
	21. Surgeon title	(1) Physician
		(2) Attending physician
		(3) Deputy chief physician
		(4) Chief physician
	22. Seniority of surgeon	The working years of surgeon
	23. Age of surgeon	—
	24. Surgical grade	(1) Small
		(2) Medium
		(3) Large
		(4) Super
Output (original)	Duration of surgery	(1) 1 hour
		(2) 1-2 hours
		(3) 2-3 hours
		(4) 3-4 hours
Output (statistical)	Duration of surgery	(1) 1000
		(2) 0100
		(3) 0010
		(4) 0001