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Table 1 Initial 12 input variables for model 1 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

gender, % male

58

65

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

weeks since BMT, median (IQR)*

15 (54)

8 (102)

% chemotherapy<3 we since ICU admission

41

52

days of hospitalisation before ICU admission, median (IQR)

4(16)

6(16)

% bacterial infection

44

43

APACHE II score

24.5 (± 7.4)

25 (± 7.4)

% 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, *within subgroup with bone marrow transplantation.