Skip to main content

Table 1 Descriptions of Variables under the Investigation

From: Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia

No.

Feature name (class)

Feature values

1.

Graft status (factor, outcome variable)

0 = Censored, 1 = Graft failure

2.

Recipient’s age (integer)

In years

3.

Donor’s age (integer)

In years

4.

Body mass index (numeric)

In kg/m2

5.

Number of post-transplant admissions (integer)

In count

6.

Duration since transplant(integer)

In months

7.

Recipient’s gender (factor)

0 = Male, 1 = Female

8.

Donor’s gender (factor)

0 = Male, 1 = Female

9.

Recipient’s religion (factor)

0 = Orthodox, 1 = Muslim, 2 = Protestant, 3 = Catholic, 4 = other

10.

Recipient’s marital status (factor)

0 = Married, 1 = Unmarried

11.

Recipient’s level of education (factor)

0 = No education, 1 = Primary, 2 = Secondary,

3 = Tertiary (diploma), 4 = degree

12.

Recipient’s employment status (factor)

0 = government employee, 1 = Private employee,

2 = No working

13.

Recipient’s residence (factor)

0 = Urban, 1 = Rural

14.

Donor-recipient relationship (factor)

0 = sibling, 1 = parent, 2 = child, 3 = spouse, 4 = relatives

15.

Place of renal allograft transplantation (factor)

0 = Locally in the center, 1 = Outside the country

16.

Post-transplant regular physical exercise (factor)

0 = No, 1 = Yes

17.

The post-transplant average intake of water/day (factor)

0 = Less than 2 litters, 1 = 2–3 litters, 2 = 3–4 litters, 3 = More than 4 litters

18.

Pre-transplant history of substance abuse (factor)

0 = No, 1 = Yes

19.

Post-transplant non-adherence (factor)

0 = No, 1 = Yes

20.

Cause of end-stage renal disease (factor)

0 = Chronic glomerulonephritis, 1 = Diabetes 2 = Hypertension, 3 = Others, 4 = Unknown

21.

Pre-transplant history of co-morbidity (factor)

0 = No, 1 = Yes

22.

Pre-transplant history of dialysis (factor)

0 = No, 1 = Yes

23.

Pre-transplant history of blood transfusion (factor)

0 = No, 1 = Yes

24.

Pre-transplant history of abdominal surgery (factor)

0 = No, 1 = Yes

25.

Family history of kidney disease (factor)

0 = No, 1 = Yes

26.

Post-transplant malignancy (factor)

0 = No, 1 = Yes

27.

Post-transplant urological complications (factor)

0 = No, 1 = Yes

28.

Post-transplant vascular complications (factor)

0 = No, 1 = Yes

29.

Post-transplant cardiovascular complication (factor)

0 = No, 1 = Yes

30.

Post-transplant infection (factor)

0 = No, 1 = Yes

31.

Post-transplant diabetes (factor)

0 = No, 1 = Yes

32.

Post-transplant hypertension (factor)

0 = No, 1 = Yes

33.

An episode of hyperacute rejection (factor)

0 = No, 1 = Yes

34.

An episode of acute rejection (factor)

0 = No, 1 = Yes

35.

An episode of chronic rejection (factor)

0 = No, 1 = Yes

36.

Post-transplant gastrointestinal problems (factor)

0 = No, 1 = Yes

37.

Post-transplant glomerulonephritis (factor)

0 = No, 1 = Yes

38.

Post-transplant delayed graft functioning (factor)

0 = No, 1 = Yes

39.

Post-transplant fluid overload (factor)

0 = No, 1 = Yes

40.

Post-transplant Covid-19 (factor)

0 = No, 1 = Yes

41.

Systolic blood pressure (integer)

In mm Hg

42.

Diastolic blood pressure (integer)

In mm Hg

43.

Body weight (numeric)

In kg

44.

White blood cell count (numeric)

In G/L

45.

Hemoglobin level (numeric)

In G/DL

46.

Platelets (integer)

In count/mL

47.

Serum creatinine level

In mg/dL

48.

Blood Urea Nitrogen level

In mg/dL

49.

Glucose level (numeric)

In mg/dL

50.

Potassium level (numeric)

In mg/dL

51.

Sodium level (numeric)

In mg/dL

52.

Calcium level (numeric)

In mg/dL

53.

Phosphorus level (numeric)

In mg/dL

54.

Tacrolimus metabolism rate (Tac_MR) (numeric)

In ng/ml × 1/mg

55.

Estimated glomerular filtration rate (eGFR) (numeric)

In mL/min/1.73m2