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Table 2 Initial 17 input variables for model 2 before start of MLR and SVM modeling process and their descriptive statistics for the training and validation data sets.

From: Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies

Input variable

Training

Validation

age, yrs

55 (± 18)

58 (± 15)

% high-grade malignancy

61

54

% active disease of relapse

34

39

% allogeneic bone marrow transplant./stem cell transplant.

13

10

days of hospitalisation before ICU admission, median (IQR)

4 (16)

6 (16)

% bacterial infection

44

43

pulse (/min)

123 (± 28)

118 (± 33)

mean blood pressure (MAP), mmHg

73 (± 27)

69 (± 22)

respiration frequency (/min)

32 (± 10)

33 (± 13)

Pa02/Fi02 (p/f)

198 (± 130)

194 (± 126)

platelets (1000/mm3)

125 (± 700)

90 (± 114)

urea<24 h (g/l)

0.86 (± 59)

0.82 (± 55)

creatinine<24 h (mg/dl)

1.6 (± 1.08)

1.7 (± 1.7)

albumin<24 h (g/dl)

2.6 (± 1.97)

2.4 (± 0.70)

prothrombin time (%)<24 h

56 (± 20.7)

57 (± 19.4)

% ventilated on day 1

49

46

% vasopressor need on day 1

41

49

  1. training n = 252, validation n = 100; mean (± SD), except when indicated otherwise.